Pricing | BigQuery: Cloud Data Warehouse

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text. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/speech-to-text" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/speech-to-text" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="speech-to-text"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#cloudspeechapi" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Speech-to-Text </div> <div class="devsite-nav-item-description"> Speech recognition and transcription across 125 languages. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a 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src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#computeengine" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Spot VMs </div> <div class="devsite-nav-item-description"> Compute instances for batch jobs and fault-tolerant workloads. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/batch" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/batch" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="batch"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/batch.svg" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Batch </div> 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track-metadata-eventdetail="https://cloud.google.com/anthos/run" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="cloud run for anthos"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#cloudrun" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cloud Run for Anthos </div> <div class="devsite-nav-item-description"> Integration that provides a serverless development platform on GKE. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/kubernetes-applications" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/kubernetes-applications" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="google cloud marketplace for anthos"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#marketplace" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Google Cloud Marketplace for Anthos </div> <div class="devsite-nav-item-description"> Containerized apps with prebuilt deployment and unified billing. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/migrate/containers" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/migrate/containers" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="migrate to containers"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#migrateforanthos" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Migrate to Containers </div> <div class="devsite-nav-item-description"> Tool to move workloads and existing applications to GKE. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/products/operations" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/products/operations" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="operations"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#stackdriver" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Operations </div> <div class="devsite-nav-item-description"> Monitoring, logging, and application performance suite. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/build" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/build" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="cloud build"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#cloudbuild" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cloud Build </div> <div class="devsite-nav-item-description"> Service for executing builds on Google Cloud infrastructure. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/traffic-director" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/traffic-director" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="traffic director"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#trafficdirector" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Traffic Director </div> <div class="devsite-nav-item-description"> Traffic control pane and management for open service mesh. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/apigee" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/apigee" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="apigee api management"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#apigeeapiplatform" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Apigee API Management </div> <div class="devsite-nav-item-description"> API management, development, and security platform. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/distributed-cloud" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/distributed-cloud" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="google distributed cloud"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#generic" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Google Distributed Cloud </div> <div class="devsite-nav-item-description"> Fully managed solutions for the edge and data centers. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/deploy" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/deploy" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="google cloud deploy"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/cloud-deploy.svg" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Google Cloud Deploy </div> <div class="devsite-nav-item-description"> Fully managed continuous delivery to Google Kubernetes Engine and Cloud Run. </div> </a> </li> </ul> </div> <div class="devsite-tabs-dropdown-column "> <ul class="devsite-tabs-dropdown-section cloud-dropdown-menu-heading"> <li class="devsite-nav-title" role="heading" tooltip>Internet of Things</li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/iot-core" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/iot-core" track-metadata-position="nav - products" track-metadata-module="tertiary nav" track-metadata-module_headline="internet of things" tooltip track-name="cloud iot core"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#cloudiotcore" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cloud IoT Core </div> <div class="devsite-nav-item-description"> IoT device management, integration, and connection service. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/edge-tpu" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/edge-tpu" track-metadata-position="nav - products" track-metadata-module="tertiary nav" track-metadata-module_headline="internet of things" tooltip track-name="edge tpu"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#cloudiotedge" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Edge TPU </div> <div class="devsite-nav-item-description"> ASIC designed to run ML inference and AI at the edge. </div> </a> </li> </ul> </div> <div class="devsite-tabs-dropdown-column "> <ul class="devsite-tabs-dropdown-section cloud-dropdown-menu-heading devsite-nav-title-heading"> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/products/management" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/products/management" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="management tools"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/forward.svg" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Management Tools </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/anthos/config-management" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/anthos/config-management" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="anthos config management"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/anthos-config-management.svg" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Anthos Config Management </div> <div class="devsite-nav-item-description"> Automate policy and security for your deployments. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/carbon-footprint" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/carbon-footprint" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="carbon footprint"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/carbon-footprint.svg" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Carbon Footprint </div> <div class="devsite-nav-item-description"> Dashboard to view and export Google Cloud carbon emissions reports. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/apis" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/apis" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="cloud apis"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#cloudapis" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cloud APIs </div> <div class="devsite-nav-item-description"> Programmatic interfaces for Google Cloud services. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/cloud-console" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/cloud-console" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="cloud console"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#generic" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cloud console </div> <div class="devsite-nav-item-description"> Web-based interface for managing and monitoring cloud apps. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/console-app" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/console-app" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="cloud mobile app"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#generic" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cloud Mobile App </div> <div class="devsite-nav-item-description"> App to manage Google Cloud services from your mobile device. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/shell" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/shell" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="cloud shell"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#cloudshell" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cloud Shell </div> <div class="devsite-nav-item-description"> Interactive shell environment with a built-in command line. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/config-connector/docs/overview" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/config-connector/docs/overview" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="config connector"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#generic" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Config Connector </div> <div class="devsite-nav-item-description"> Kubernetes add-on for managing Google Cloud resources. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/cost-management" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/cost-management" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="cost management"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/billing.png" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Cost Management </div> <div class="devsite-nav-item-description"> Tools for monitoring, controlling, and optimizing your costs. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/solutions/active-assist" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/solutions/active-assist" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="intelligent management"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#generic" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Intelligent Management </div> <div class="devsite-nav-item-description"> Tools for easily managing performance, security, and cost. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/private-catalog" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/private-catalog" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="private catalog"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#marketplace" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Private Catalog </div> <div class="devsite-nav-item-description"> Service catalog for admins managing internal enterprise solutions. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/docs/terraform" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/docs/terraform" track-metadata-position="nav - products" track-metadata-module="tertiary nav" tooltip track-name="terraform on google cloud"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#generic" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Terraform on Google Cloud </div> <div class="devsite-nav-item-description"> Open source tool to provision Google Cloud resources with declarative configuration files. </div> </a> </li> </ul> </div> <div class="devsite-tabs-dropdown-column "> <ul class="devsite-tabs-dropdown-section cloud-dropdown-menu-heading"> <li class="devsite-nav-title" role="heading" tooltip>Media and Gaming</li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/livestream" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/livestream" track-metadata-position="nav - products" track-metadata-module="tertiary nav" track-metadata-module_headline="media and gaming" tooltip track-name="live stream api"> <div class="devsite-nav-item-icon-container" size="medium"> <img class="devsite-nav-item-icon" alt="" src="http://web.archive.org/web/20230727031505im_/https://www.gstatic.com/cloud/images/navigation/icons.svg#generic" srcset="" sizes="100vw" loading="lazy"> </div> <div class="devsite-nav-item-title"> Live Stream API </div> <div class="devsite-nav-item-description"> Service to convert live video and package for streaming. </div> </a> </li> </ul> <ul class="devsite-tabs-dropdown-section "> <li class="devsite-nav-item"> <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/opencue" track-type="nav" track-metadata-eventdetail="https://cloud.google.com/opencue" track-metadata-position="nav - products" track-metadata-module="tertiary nav" track-metadata-module_headline="media and gaming" tooltip 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data-label="Responsive Tab: Games" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Games </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/manufacturing" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Manufacturing" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Manufacturing </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/supply-chain-logistics" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Supply Chain and Logistics" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Supply Chain 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data-category="Site-Wide Custom Events" data-label="Responsive Tab: See all industry solutions" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> See all industry solutions </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: See all solutions" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> See all solutions </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/camp" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Application Modernization" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Application Modernization </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/camp" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: CAMP" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> CAMP </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/modernize-traditional-applications" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Modernize Traditional Applications" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Modernize Traditional Applications </span> </a> </li> <li class="devsite-nav-item"> <a 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track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> SRE Principles </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/app-modernization/day-2-operations-for-gke" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Day 2 Operations for GKE" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Day 2 Operations for GKE </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/finops-optimize-gke" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: FinOps and Optimization of GKE" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> FinOps 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track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Database Modernization </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/databases/games" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Databases for Games" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Databases for Games </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/products/databases" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Google Cloud Databases" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Google Cloud Databases </span> </a> </li> <li class="devsite-nav-item"> <a 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track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Databases Solutions </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/smart-analytics" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: Smart Analytics Solutions" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> Smart Analytics Solutions </span> </a> </li> <li class="devsite-nav-item"> <a href="/web/20230727031505/https://cloud.google.com/solutions/ai" class="devsite-nav-title gc-analytics-event " data-category="Site-Wide Custom Events" data-label="Responsive Tab: AI Solutions" track-type="navMenu" track-metadata-eventdetail="globalMenu" track-metadata-position="nav"> <span class="devsite-nav-text" tooltip> AI Solutions </span> </a> </li> <li class="devsite-nav-item"> <a 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display: flex; } .flex-1 { flex: 1; } devsite-iframe iframe[src*=\.frame] { height: inherit; } .table-bar { align-items: center; background-color: #2B85E7; box-sizing: border-box; color: rgba(255, 255, 255, 0.870588); display: flex; flex-direction: row; height: 64px; line-height: 28px; margin: 0; overflow: hidden; padding: 0 16px; } /* Override material css */ .table-bar md-select:not([disabled]):focus .md-select-value { color: inherit; } .table-bar .separator, .table-bar .seperator { background-color: rgba(0,0,0,0.15); display: none; height: 32px; margin: 0 20px; width: 1px; } table.table-accelerators td:first-child { min-width:280px; } /* aside css */ [dir=ltr] body[layout=full] #cloud-site aside { margin-top: 15px; padding: 15px 40px; } [dir=ltr] #cloud-site aside:before { margin-left: -24px; } #cloud-site aside p { margin: 0 10px; } .contact-sales_module { padding: 0 24px; } @media only screen and (min-width: 480px) { .table-bar .separator, .table-bar .seperator { display: block; } } .table-bar .spacer { display: none; } @media only screen and (min-width: 480px) { .table-bar .spacer { display: block; } } .table-bar md-select { flex-grow: 1; margin: 0 20px 0 0; min-width: 70px; } @media only screen and (min-width: 480px) { .table-bar md-select { flex-grow: 0; margin-right: 0; min-width: 150px; } } @media only screen and (min-width: 721px) { .table-bar md-select { min-width: 90px; } } @media only screen and (min-width: 768px) { .table-bar md-select { min-width: 140px; } } @media only screen and (min-width: 1024px) { .table-bar md-select { min-width: 180px; } } .table-bar md-switch { margin-left: 12px; margin-right: 4px; } .table-bar .rate { opacity: 0.7; } .table-bar .rate.selected { opacity: 1; } table td { background: #fff; padding: 15px 16px; } table thead tr th { background: #eee; color: #333; font-weight: normal; padding: 20px 16px; } table thead tr th code { color: #78909d; } table thead tr th :link, table thead tr th :visited, table thead tr th a, table thead tr th a:active, table thead tr th a:visited { color: inherit; } .devsite-table-wrapper { box-shadow: 0 1px 2px rgba(0,0,0,0.5); } #cloud-site .devsite-table-wrapper { box-shadow: none; } .table-vertical-align-center { vertical-align: middle; } /* Unknown reason why the md-select dropdown does not position correctly against the md-select * input. Making the md-select dropdown appear above the .devsite-top-section-wrapper to * at least allow user interaction */ .md-select-menu-container.md-active { z-index: 10008; } md-select-menu { max-height: 226px; } md-select-menu md-content { max-height: 182px; } </style><style> /* Styles inlined from /css/pricing-table.css */ html, body { padding-bottom: 35px !important; } .flex-d { display: flex; } .flex-1 { flex: 1; } devsite-iframe iframe[src*=\.frame] { height: inherit; } .table-bar { align-items: center; background-color: #2B85E7; box-sizing: border-box; color: rgba(255, 255, 255, 0.870588); display: flex; flex-direction: row; height: 64px; line-height: 28px; margin: 0; overflow: hidden; padding: 0 16px; } /* Override material css */ .table-bar md-select:not([disabled]):focus .md-select-value { color: inherit; } .table-bar .separator, .table-bar .seperator { background-color: rgba(0,0,0,0.15); display: none; height: 32px; margin: 0 20px; width: 1px; } table.table-accelerators td:first-child { min-width:280px; } /* aside css */ [dir=ltr] body[layout=full] #cloud-site aside { margin-top: 15px; padding: 15px 40px; } [dir=ltr] #cloud-site aside:before { margin-left: -24px; } #cloud-site aside p { margin: 0 10px; } .contact-sales_module { padding: 0 24px; } @media only screen and (min-width: 480px) { .table-bar .separator, .table-bar .seperator { display: block; } } .table-bar .spacer { display: none; } @media only screen and (min-width: 480px) { .table-bar .spacer { display: block; } } .table-bar md-select { flex-grow: 1; margin: 0 20px 0 0; min-width: 70px; } @media only screen and (min-width: 480px) { .table-bar md-select { flex-grow: 0; margin-right: 0; min-width: 150px; } } @media only screen and (min-width: 721px) { .table-bar md-select { min-width: 90px; } } @media only screen and (min-width: 768px) { .table-bar md-select { min-width: 140px; } } @media only screen and (min-width: 1024px) { .table-bar md-select { min-width: 180px; } } .table-bar md-switch { margin-left: 12px; margin-right: 4px; } .table-bar .rate { opacity: 0.7; } .table-bar .rate.selected { opacity: 1; } table td { background: #fff; padding: 15px 16px; } table thead tr th { background: #eee; color: #333; font-weight: normal; padding: 20px 16px; } table thead tr th code { color: #78909d; } table thead tr th :link, table thead tr th :visited, table thead tr th a, table thead tr th a:active, table thead tr th a:visited { color: inherit; } .devsite-table-wrapper { box-shadow: 0 1px 2px rgba(0,0,0,0.5); } #cloud-site .devsite-table-wrapper { box-shadow: none; } .table-vertical-align-center { vertical-align: middle; } /* Unknown reason why the md-select dropdown does not position correctly against the md-select * input. Making the md-select dropdown appear above the .devsite-top-section-wrapper to * at least allow user interaction */ .md-select-menu-container.md-active { z-index: 10008; } md-select-menu { max-height: 226px; } md-select-menu md-content { max-height: 182px; } </style><style> /* Styles inlined from /css/pricing-table.css */ html, body { padding-bottom: 35px !important; } .flex-d { display: flex; } .flex-1 { flex: 1; } devsite-iframe iframe[src*=\.frame] { height: inherit; } .table-bar { align-items: center; background-color: #2B85E7; box-sizing: border-box; color: rgba(255, 255, 255, 0.870588); display: flex; flex-direction: row; height: 64px; line-height: 28px; margin: 0; overflow: hidden; padding: 0 16px; } /* Override material css */ .table-bar md-select:not([disabled]):focus .md-select-value { color: inherit; } .table-bar .separator, .table-bar .seperator { background-color: rgba(0,0,0,0.15); display: none; height: 32px; margin: 0 20px; width: 1px; } table.table-accelerators td:first-child { min-width:280px; } /* aside css */ [dir=ltr] body[layout=full] #cloud-site aside { margin-top: 15px; padding: 15px 40px; } [dir=ltr] #cloud-site aside:before { margin-left: -24px; } #cloud-site aside p { margin: 0 10px; } .contact-sales_module { padding: 0 24px; } @media only screen and (min-width: 480px) { .table-bar .separator, .table-bar .seperator { display: block; } } .table-bar .spacer { display: none; } @media only screen and (min-width: 480px) { .table-bar .spacer { display: block; } } .table-bar md-select { flex-grow: 1; margin: 0 20px 0 0; min-width: 70px; } @media only screen and (min-width: 480px) { .table-bar md-select { flex-grow: 0; margin-right: 0; min-width: 150px; } } @media only screen and (min-width: 721px) { .table-bar md-select { min-width: 90px; } } @media only screen and (min-width: 768px) { .table-bar md-select { min-width: 140px; } } @media only screen and (min-width: 1024px) { .table-bar md-select { min-width: 180px; } } .table-bar md-switch { margin-left: 12px; margin-right: 4px; } .table-bar .rate { opacity: 0.7; } .table-bar .rate.selected { opacity: 1; } table td { background: #fff; padding: 15px 16px; } table thead tr th { background: #eee; color: #333; font-weight: normal; padding: 20px 16px; } table thead tr th code { color: #78909d; } table thead tr th :link, table thead tr th :visited, table thead tr th a, table thead tr th a:active, table thead tr th a:visited { color: inherit; } .devsite-table-wrapper { box-shadow: 0 1px 2px rgba(0,0,0,0.5); } #cloud-site .devsite-table-wrapper { box-shadow: none; } .table-vertical-align-center { vertical-align: middle; } /* Unknown reason why the md-select dropdown does not position correctly against the md-select * input. Making the md-select dropdown appear above the .devsite-top-section-wrapper to * at least allow user interaction */ .md-select-menu-container.md-active { z-index: 10008; } md-select-menu { max-height: 226px; } md-select-menu md-content { max-height: 182px; } </style><style> /* Styles inlined from /css/pricing-table.css */ html, body { padding-bottom: 35px !important; } .flex-d { display: flex; } .flex-1 { flex: 1; } devsite-iframe iframe[src*=\.frame] { height: inherit; } .table-bar { align-items: center; background-color: #2B85E7; box-sizing: border-box; color: rgba(255, 255, 255, 0.870588); display: flex; flex-direction: row; height: 64px; line-height: 28px; margin: 0; overflow: hidden; padding: 0 16px; } /* Override material css */ .table-bar md-select:not([disabled]):focus .md-select-value { color: inherit; } .table-bar .separator, .table-bar .seperator { background-color: rgba(0,0,0,0.15); display: none; height: 32px; margin: 0 20px; width: 1px; } table.table-accelerators td:first-child { min-width:280px; } /* aside css */ [dir=ltr] body[layout=full] #cloud-site aside { margin-top: 15px; padding: 15px 40px; } [dir=ltr] #cloud-site aside:before { margin-left: -24px; } #cloud-site aside p { margin: 0 10px; } .contact-sales_module { padding: 0 24px; } @media only screen and (min-width: 480px) { .table-bar .separator, .table-bar .seperator { display: block; } } .table-bar .spacer { display: none; } @media only screen and (min-width: 480px) { .table-bar .spacer { display: block; } } .table-bar md-select { flex-grow: 1; margin: 0 20px 0 0; min-width: 70px; } @media only screen and (min-width: 480px) { .table-bar md-select { flex-grow: 0; margin-right: 0; min-width: 150px; } } @media only screen and (min-width: 721px) { .table-bar md-select { min-width: 90px; } } @media only screen and (min-width: 768px) { .table-bar md-select { min-width: 140px; } } @media only screen and (min-width: 1024px) { .table-bar md-select { min-width: 180px; } } .table-bar md-switch { margin-left: 12px; margin-right: 4px; } .table-bar .rate { opacity: 0.7; } .table-bar .rate.selected { opacity: 1; } table td { background: #fff; padding: 15px 16px; } table thead tr th { background: #eee; color: #333; font-weight: normal; padding: 20px 16px; } table thead tr th code { color: #78909d; } table thead tr th :link, table thead tr th :visited, table thead tr th a, table thead tr th a:active, table thead tr th a:visited { color: inherit; } .devsite-table-wrapper { box-shadow: 0 1px 2px rgba(0,0,0,0.5); } #cloud-site .devsite-table-wrapper { box-shadow: none; } .table-vertical-align-center { vertical-align: middle; } /* Unknown reason why the md-select dropdown does not position correctly against the md-select * input. 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You don't need to provision individual instances or virtual machines to use BigQuery. Instead, BigQuery automatically allocates computing resources as you need them. You can also reserve compute capacity ahead of time in the form of <em>slots</em>, which represent virtual CPUs. The pricing structure of BigQuery reflects this design.</p> <h2 id="overview_of_pricing" class="cloud-jump-section cloud-headline2" data-text="Overview of BigQuery pricing">Overview of BigQuery pricing</h2> <p>BigQuery pricing has two main components:</p> <ul> <li><p><a href="#analysis_pricing_models" track-type="inline link"><strong>Compute (analysis) pricing</strong></a> is the cost to process queries, including SQL queries, user-defined functions, scripts, and certain data manipulation language (DML) and data definition language (DDL) statements.</p></li> <li><p><a href="#storage" track-type="inline link"><strong>Storage pricing</strong></a> is the cost to store data that you load into BigQuery.</p></li> </ul> <p>BigQuery charges for other operations, including using <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#bqomni" track-type="inline link">BigQuery Omni</a>, <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#bqml" track-type="inline link">BigQuery ML</a>, <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#bi_engine_pricing" track-type="inline link">BI Engine</a>, and streaming <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#data_extraction_pricing" track-type="inline link">reads</a> and <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#data_ingestion_pricing" track-type="inline link">writes</a>.</p> <p>In addition, BigQuery has <a href="#free" track-type="inline link">free operations</a> and a <a href="#free-tier" track-type="inline link">free usage tier</a>.</p> <p>Every project that you create has a billing account attached to it. Any charges incurred by BigQuery jobs run in the project are billed to the attached billing account. BigQuery storage charges are also billed to the attached billing account. You can view BigQuery costs and trends by using the Cloud Billing reports page in the Google Cloud console.</p> <aside class="key-point"><strong>Key Point:</strong><span> Pricing models apply to accounts, not individual projects, unless otherwise specified.</span></aside> <p id="analysis_pricing_models"><strong>Compute (analysis) pricing models</strong> </p> <p>BigQuery offers a choice of two compute pricing models for running queries:</p> <ul> <li><p><a href="#on_demand_pricing" track-type="inline link"><strong>On-demand pricing</strong></a> (per TB). With this pricing model, you are charged for the number of bytes processed by each query. The first 1 TB of query data processed per month is free.</p></li> <li><p><a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#capacity_compute_analysis_pricing" track-type="inline link"><strong>Capacity pricing</strong></a> (per slot-hour). With this pricing model, you are charged for compute capacity used to run queries, measured in slots (virtual CPUs) over time. This model takes advantage of <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/editions-intro" track-type="inline link">BigQuery editions</a>. You can leverage the BigQuery autoscaler or purchase slot commitments, which are dedicated capacity that is always available for your workloads, at a lower price.</p></li> </ul> <p>For more information about which pricing to choose for your workloads, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-workload-management" track-type="inline link">Workload management using Reservations</a>.</p> <h2 id="on_demand_pricing" class="cloud-jump-section cloud-headline2" data-text="On-demand compute (analysis) pricing">On-demand compute (analysis) pricing</h2> <p>By default, queries are billed using the on-demand (per TB) pricing model, where you pay for the data scanned by your queries.</p> <p>With on-demand pricing, you will generally have access to up to 2,000 concurrent slots, shared among all queries in a single project. Periodically, BigQuery will temporarily burst beyond this limit to accelerate smaller queries. In addition, you might occasionally have fewer slots available if there is a high amount of contention for on-demand capacity in a specific location.</p> <p>On-demand (per TB) query pricing is as follows:</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Operation', 'Pricing', 'Details']}, {'cells': ['Queries (on-demand)', {'priceByRegion': {'asiasouth2': '7.50', 'useast1aws': 9.775, 'useast2azu': 11.4125, 'apnortheast2aws': 12.5}, 'taxonomy': 'gcp.analytics.gbq.analysis.on_demand.analysis', 'tierIndex': 1, 'decimalPlaces': 2, 'format': '%{price}% per TB'}, 'The first 1 TB per month is free.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="asiasouth2"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="on-demand-pricing-details" class="hide-from-toc" data-text="Pricing details">Pricing details</h3> <p>Note the following regarding on-demand (per TB) query charges:</p> <ul> <li>BigQuery uses a <a class="external" href="http://web.archive.org/web/20230727031505/https://en.wikipedia.org/wiki/Column-oriented_DBMS" track-type="inline link">columnar data structure</a>. You're charged according to the total data processed in the columns you select, and the total data per column is calculated based on the types of data in the column. For more information about how your data size is calculated, see <a href="#data" track-type="inline link">Data size calculation</a>.</li> <li>You aren't charged for queries that return an error or for queries that retrieve <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/cached-results" track-type="inline link">results from the cache</a>. For <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/procedural-language" track-type="inline link"> procedural language jobs</a> this consideration is provided at a per-statement level.</li> <li>Charges are rounded up to the nearest MB, with a minimum 10 MB data processed per table referenced by the query, and with a minimum 10 MB data processed per query.</li> <li>Canceling a running query job might incur charges up to the full cost for the query if you let the query run to completion.</li> <li>When you run a query, you're charged according to the data processed in the columns you select, even if you set an explicit <code translate="no" dir="ltr">LIMIT</code> on the results.</li> <li><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/partitioned-tables" track-type="inline link">Partitioning</a> and <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/clustered-tables" track-type="inline link">clustering</a> your tables can help reduce the amount of data processed by queries. As a best practice, use partitioning and clustering whenever possible.</li> <li>On-demand (per TB) pricing is referred to as analysis pricing on the <a href="/web/20230727031505/https://cloud.google.com/skus/?filter=bigquery" track-type="inline link">Google Cloud SKUs</a> page.</li> <li>When you run a query against a clustered table, and the query includes a filter on the clustered columns, BigQuery uses the filter expression to prune the blocks scanned by the query. This can reduce the number of scanned bytes.</li> <li>When querying an external data source from BigQuery, you are charged for the number of bytes read by the query. If the external data is stored in another Google Cloud product such as Cloud Storage, any storage costs for that product apply as well. For more information, see <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/pricing" track-type="inline link">Google Cloud pricing</a>.</li> </ul> <p>BigQuery provides cost control mechanisms that enable you to cap your query costs. You can set:</p> <ul> <li>User-level and project-level <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/custom-quotas" track-type="inline link">custom cost controls</a> </li> <li>The <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/best-practices-costs#limit_query_costs_by_restricting_the_number_of_bytes_billed" track-type="inline link">maximum bytes billed</a> by a query</li> </ul> <p>For detailed examples of how to calculate the number of bytes processed, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/estimate-costs#query_size_calculation" track-type="inline link">Query size calculation</a>.</p> <h2 id="capacity_compute_analysis_pricing" class="cloud-jump-section cloud-headline2" data-text="Capacity compute (analysis) pricing">Capacity compute (analysis) pricing</h2> <p>BigQuery offers a capacity-based analysis pricing model for customers who prefer a predictable cost for queries rather than paying the on-demand price per TB of data processed.</p> <p>To enable capacity pricing, use <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro" track-type="inline link">BigQuery Reservations</a>.</p> <p><strong>BigQuery editions pricing</strong></p> <p>Pricing for <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/editions-intro">BigQuery editions</a> is based on units of compute (slot hours) and offers pay as you go pricing (with autoscaling) and optional one year and three year commitments. With editions, you consume query processing capacity, measured in <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/slots">slots, rather than being billed for bytes processed</a>.</p> <p>BigQuery editions slot capacity:</p> <ul> <li>is available in 3 editions: Standard, Enterprise, and Enterprise Plus.</li> <li>applies to query costs, including BigQuery ML, DML, and DDL statements.</li> <li>does not apply to <a href="#storage" track-type="inline link">storage costs</a> or BI Engine costs.</li> <li>does not apply to streaming inserts and using the BigQuery Storage API.</li> <li>can leverage the BigQuery autoscaler.</li> <li>is billed per second with a one minute minimum</li> </ul> <p>Optional BigQuery editions <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro#commitments">slot commitments</a>:</p> <ul> <li>are available for one or three year periods.</li> <li>are available in Enterprise and Enterprise Plus editions.</li> <li>are regional capacity. Commitments in one region or multi-region cannot be used in another region or multi-region and cannot be moved.</li> <li>can be shared across your entire organization. There is no need to buy slot <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro#commitments">commitments</a> for every project.</li> <li>are offered with a 100-slot minimum and increments of 100 slots.</li> <li>are automatically renewed unless set to cancel at the end of the period.</li> </ul> <h2 id="standard_edition" data-text="Standard Edition">Standard Edition</h2> <p>The following table shows the cost of slots in Standard edition.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Commitment model', 'Hourly cost', 'Details']}, {'cells': ['Pay as you go', {'priceByRegion': {'us': 0.04, 'eu': 0.044}, 'taxonomy': 'GCP.Analytics.GBQ.Editions.StandardEdition.PayAsYouGo.StandardEdition', 'decimalPlaces': 3, 'format': '%{price}% / slot hour'}, 'No commitment. Billed per second with a 1 minute minimum']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <h2 id="enterprise_edition" data-text="Enterprise Edition">Enterprise Edition</h2> <p>The following table shows the cost of slots in Enterprise edition.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Commitment model', 'Hourly cost', 'Details']}, {'cells': ['Pay as you go', {'priceByRegion': {'us': 0.06, 'eu': 0.066, 'useast1aws': 0.075, 'useast2azu': 0.088, 'apnortheast2aws': 0.096}, 'taxonomy': 'GCP.Analytics.GBQ.Editions.EnterpriseEdition.PayAsYouGo.EnterpriseEdition', 'decimalPlaces': 4, 'format': '%{price}% / slot hour'}, 'Billed per second with a 1 minute minimum']}, {'cells': ['1 yr commit', {'priceByRegion': {'us': 0.048, 'eu': 0.0528, 'useast1aws': 0.06, 'useast2azu': 0.07, 'apnortheast2aws': 0.077}, 'taxonomy': 'GCP.Analytics.GBQ.Editions.EnterpriseEdition.Commit1Yr.EnterpriseEdition1yr', 'decimalPlaces': 4, 'format': '%{price}% / slot hour'}, 'Billed for 1 year']}, {'cells': ['3 yr commit', {'priceByRegion': {'us': 0.036, 'eu': 0.0396, 'useast1aws': 0.045, 'useast2azu': 0.053, 'apnortheast2aws': 0.058}, 'taxonomy': 'GCP.Analytics.GBQ.Editions.EnterpriseEdition.Commit3yr.EnterpriseEdition3yr', 'decimalPlaces': 4, 'format': '%{price}% / slot hour'}, 'Billed for 3 years']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <h2 id="enterprise_plus_edition" data-text="Enterprise Plus Edition">Enterprise Plus Edition</h2> <p>The following table shows the cost of slots in Enterprise plus edition.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Commitment model', 'Hourly cost', 'Details']}, {'cells': ['Pay as you go', {'priceByRegion': {'us': 0.1, 'eu': 0.11}, 'taxonomy': 'GCP.Analytics.GBQ.Editions.EnterprisePlusEdition.PayAsYouGo.EnterprisePlusEdition', 'decimalPlaces': 4, 'format': '%{price}% / slot hour'}, 'Billed per second with a 1 minute minimum']}, {'cells': ['1 yr commit', {'priceByRegion': {'us': 0.08, 'eu': 0.088}, 'taxonomy': 'GCP.Analytics.GBQ.Editions.EnterprisePlusEdition.Commit1Yr.EnterprisePlusEditionAnnual', 'decimalPlaces': 4, 'format': '%{price}% / slot hour'}, 'Billed for 1 year']}, {'cells': ['3 yr commit', {'priceByRegion': {'us': 0.06, 'eu': 0.066}, 'taxonomy': 'GCP.Analytics.GBQ.Editions.EnterprisePlusEdition.Commit3Yr.EnterprisePlusEdition3yr', 'decimalPlaces': 4, 'format': '%{price}% / slot hour'}, 'Billed for 3 years']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h2 id="storage" class="cloud-jump-section cloud-headline2" data-text="Storage pricing">Storage pricing</h2> <p>Storage pricing is the cost to store data that you load into BigQuery. You pay for <em>active storage</em> and <em>long-term</em> storage.</p> <ul> <li><p><strong>Active storage</strong> includes any table or table partition that has been modified in the last 90 days.</p></li> <li><p><strong>Long-term storage</strong> includes any table or table partition that has not been modified for 90 consecutive days. The price of storage for that table automatically drops by approximately 50%. There is no difference in performance, durability, or availability between active and long-term storage.</p></li> </ul> <p>The first 10 GiB of storage per month is free.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Operation', 'Pricing', 'Details']}, {'cells': ['Active logical storage', {'priceByRegion': {'us': 0.02, 'eu': 0.02, 'asiasouth2': 0.023}, 'taxonomy': 'gcp.analytics.gbq.storage.active.activeStorage', 'tierIndex': 1, 'format': '%{price}% per GiB per month'}, 'The first 10 GiB is free each month.']}, {'cells': ['Long-term logical storage', {'priceByRegion': {'us': 0.01, 'eu': 0.01, 'asiasouth2': 0.016}, 'taxonomy': 'gcp.analytics.gbq.storage.long_term.longTermStorage', 'tierIndex': 1, 'format': '%{price}% per GiB per month'}, 'The first 10 GiB is free each month.']}, {'cells': ['Active physical storage - Preview', {'taxonomy': 'GCP.Analytics.GBQ.PhysicalStorage.Active.PhysicalStorageActive', 'tierIndex': 1, 'format': '%{price}% per GiB per month'}, 'The first 10 GiB is free each month.']}, {'cells': ['Long-term physical storage - Preview', {'taxonomy': 'GCP.Analytics.GBQ.PhysicalStorage.LongTerm.PhysicalStorageLongterm', 'tierIndex': 1, 'format': '%{price}% per GiB per month'}, 'The first 10 GiB is free each month.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="useast5,ussouth1"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <p>Please see the <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/datasets-intro#dataset_storage_billing_models">physical storage documentation</a> for eligibility criteria.</p> <h3 id="storage-pricing-details" class="hide-from-toc" data-text="Pricing details">Pricing details</h3> <p>Storage pricing is based on the amount of data stored in your tables. The size of the data is calculated based on the data types of the individual columns. For a detailed explanation of how data size is calculated, see <a href="#data" track-type="inline link">Data size calculation</a>.</p> <p>Storage pricing is prorated per MB, per second. For example, if you store:</p> <ul> <li>100 MB for half a month, you pay $0.001 (a tenth of a cent)</li> <li>500 GiB for half a month, you pay $5</li> <li>1 TB for a full month, you pay $20</li> </ul> <p>Storage usage is calculated in <a href="http://web.archive.org/web/20230727031505/https://en.wikipedia.org/wiki/Gibibyte" class="external" target="_blank" track-type="inline link"> gibibytes months (GiB months)</a>, where 1 GiB is 2<sup title="to the power of">30</sup> bytes (1,024 MiB). Similarly, 1 tebibyte (TiB) is 2<sup title="to the power of">40</sup> bytes (1,024 GiB). The final usage value is the product of data size in gibibytes and storage use time in months.</p> <p>If a table is not edited for 90 consecutive days, it is billed at the <strong>long- term storage</strong> rate. There is no degradation of performance, durability, availability, or any other functionality when a table is considered long-term storage.</p> <p>Each partition of a partitioned table is considered separately for long-term storage pricing. If a partition hasn't been modified in the last 90 days, the data in that partition is considered long term storage and is charged at the discounted price.</p> <p>If the table is edited, the price reverts back to the regular storage pricing, and the 90-day timer starts counting from zero. Anything that modifies the data in a table resets the timer, including:</p> <table> <tr> <th>Action</th> <th>Details</th> </tr> <tr> <td>Loading data into a table</td> <td>Any load or query job that appends data to a destination table or overwrites a destination table.</td> </tr> <tr> <td>Copying data into a table</td> <td>Any copy job appends data to a destination table or overwrites a destination table.</td> </tr> <tr> <td>Writing query results to a table</td> <td>Any query job that appends data to a destination table or overwrites a destination table.</td> </tr> <tr> <td>Using data manipulation language (DML)</td> <td>Using a <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/data-manipulation-language" track-type="inline link">DML statement</a> to modify table data.</td> </tr> <tr> <td>Using data definition language (DDL)</td> <td>Using a <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/data-definition-language#create_table_statement" track-type="inline link"> <code translate="no" dir="ltr">CREATE OR REPLACE TABLE</code></a> statement to replace a table.</td> </tr> <tr> <td>Streaming data into the table</td> <td>Ingesting data using the <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/insertAll" track-type="inline-link"><code translate="no" dir="ltr">tabledata.insertAll</code></a> API call.</td> </tr> </table> <p>All other actions do not reset the timer, including the following:</p> <ul> <li>Querying a table</li> <li>Creating a view that queries a table</li> <li>Exporting data from a table</li> <li>Copying a table (to another destination table)</li> <li>Patching or updating a <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/rest/v2/tables" track-type="inline link">table resource</a> </li> </ul> <p>For tables that reach the 90-day threshold during a billing cycle, the price is prorated accordingly.</p> <p>Long-term storage pricing applies only to BigQuery storage, not to data stored in <a href="/web/20230727031505/https://cloud.google.com/bigquery/external-data-sources" track-type="inline link">external data sources</a> such as Cloud Bigtable, Cloud Storage, and Google Drive.</p> <h3 id="data" class="hide-from-toc" data-text="Data size calculation">Data size calculation</h3> <p>When you load data into BigQuery or query the data, you're charged according to the data size. Data size is calculated based on the size of each column's <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types" track-type="inline link">data type</a>.</p> <p>The size of your stored data and the size of the data processed by your queries is calculated in <a href="http://web.archive.org/web/20230727031505/https://en.wikipedia.org/wiki/Gibibyte" class="external" target="_blank" track-type="inline link"> gibibytes (GiB)</a>, where 1 GiB is 2<sup title="to the power of">30</sup> bytes (1,024 MiB). Similarly, 1 tebibyte (TiB) is 2<sup title="to the power of">40</sup> bytes (1,024 GiB).</p> <p>For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types#data_type_sizes" track-type="inline link">Data type sizes</a>.</p> <h2 id="bqdts" class="cloud-jump-section cloud-headline2" data-text="Data Transfer Service pricing">Data Transfer Service pricing</h2> <p>The BigQuery Data Transfer Service charges monthly on a prorated basis. You are charged as follows: <table> <tr> <th>Data source</th> <th>Monthly charge (prorated)</th> <th>Notes</th> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/doubleclick-campaign-transfer" track-type="inline link">Campaign Manager</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/cloud-storage-transfer" track-type="inline link">Cloud Storage</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/s3-transfer" track-type="inline link">Amazon S3</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a>,<a href="#migrations_from_other_platforms" track-type="inline link">2,3</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/adwords-transfer" track-type="inline link">Google Ads</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/doubleclick-publisher-transfer" track-type="inline link">Google Ad Manager</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/merchant-center-transfer" track-type="inline link">Google Merchant Center</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/play-transfer" track-type="inline link">Google Play</a></td> <td><p>$25 per unique Package Name in the <code translate="no" dir="ltr">Installs_country</code> table.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/sa360-transfer" track-type="inline link">Search Ads 360</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/youtube-channel-transfer" track-type="inline link">YouTube Channel</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr> <tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/youtube-content-owner-transfer" track-type="inline link">YouTube Content Owner</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a></td> </tr></p> <p><tr> <th>Data warehouse</th> <th>Monthly charge (prorated)</th> <th>Notes</th> </tr> <tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/migration/teradata-overview" track-type="inline link">Teradata</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a>, <a href="#migrations_from_other_platforms" track-type="inline link">2, 3</a>, <a href="#teradata_migrations" track-type="inline link">4</a></td> </tr> <tr> <td><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/migration/redshift-overview" track-type="inline link">Amazon Redshift</a></td> <td><p>No charge. BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas#load_jobs" track-type="inline link">Quotas and limits</a> apply.</p></td> <td><a href="#all_transfers" track-type="inline link">1</a>, <a href="#migrations_from_other_platforms" track-type="inline link">2, 3</a></td> </tr></p> <p><tr> <th>Third-party Connectors</th> <th>Costs apply</th> <th>See <a href="#third-party_connectors" track-type="inline link">5</a> for more details</th> </tr></p> <p></table></p> <h3 id="transfer-notes" class="hide-from-toc" data-text="Notes on transfer pricing">Notes on transfer pricing</h3> <h4 id="all_transfers" data-text="All transfers">All transfers</h4> <p>1. After data is transferred to BigQuery, standard BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#storage" track-type="inline link">storage</a> and <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing" track-type="inline link">query</a> pricing applies. For additional pricing details, <a href="/web/20230727031505/https://cloud.google.com/contact" track-type="inline link">contact Sales</a>.</p> <h4 id="migrations_from_other_platforms" data-text="Migrations from other platforms">Migrations from other platforms</h4> <p>2. Extraction, uploading to a Cloud Storage bucket, and loading data into BigQuery is free.</p> <p>3. Costs can be incurred outside of Google by using the BigQuery Data Transfer Service, such as platform egress charges.</p> <h4 id="teradata_migrations" data-text="Teradata migrations">Teradata migrations</h4> <p>4. Data is <em><strong>not</strong></em> automatically deleted from your Cloud Storage bucket after it is uploaded to BigQuery. Consider deleting the data from your Cloud Storage bucket to avoid additional storage costs. See <a href="/web/20230727031505/https://cloud.google.com/storage/pricing" track-type="inline link">Cloud Storage pricing</a>.</p> <h4 id="third-party_connectors" data-text="Third-party Connectors">Third-party Connectors</h4> <p>5. Costs apply for connectors provided by third-party partners. The pricing model differs for different partners and connectors. For more pricing details, refer to individual connectors when enrolling in <a href="/web/20230727031505/https://cloud.google.com/marketplace" track-type="inline link">Marketplace</a>.</p> <h3 id="calculation" class="hide-from-toc" data-text="Calculating unique IDs">Calculating unique IDs</h3> <aside class="warning"><strong>Warning:</strong><span> If you have multiple transfers with the same destination tables, the pricing calculation may produce unexpected results. To avoid this, use different datasets or different table suffixes for each transfer. If you do not, you may be charged more than the following standard rate.</span></aside> <p>Each transfer you create generates 1 or more runs per day. Each run maintains a record of each unique ID encountered and the date the transfer run completes. IDs are only counted on the day the transfer completes. For example, if a transfer run begins on July 14th but completes on July 15th, the unique IDs are counted on July 15th.</p> <p>If a unique ID is encountered in more than one transfer run on a particular day, it is counted only once. Unique IDs are counted separately for different transfers. If a unique ID is encountered in runs for two separate transfers, the ID is counted twice.</p> <h3 id="backfill" class="hide-from-toc" data-text="Calculating backfill charges">Calculating backfill charges</h3> <p>If you schedule a backfill, a transfer run is scheduled for each day. You are then charged based on the method described in <a href="#calculation" track-type="inline link">Calculating unique IDs</a>.</p> <h3 id="delete" class="hide-from-toc" data-text="Stopping BigQuery charges">Stopping BigQuery charges</h3> <p>To stop incurring charges, <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/working-with-transfers#disabling_a_transfer" track-type="inline link">disable</a> or <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/working-with-transfers#deleting_a_transfer" track-type="inline link">delete</a> your transfer.</p> <p><strong>BigQuery Data Transfer Service pricing examples</strong></p> <p><strong>Example 1:</strong> You have <strong>1 transfer</strong> with 3 runs that complete on the same day.</p> <ul> <li>The first run records the following unique IDs: A, B, and C</li> <li>The second run records: A</li> <li>The third run records: C and D</li> </ul> <p>Because all runs finish on the same day, you are charged based on <strong>4 unique IDs</strong>: A, B, C, D. Because ID A and ID C were recorded in two different runs that completed on the same day, IDs A and C are counted only once. If the 3 transfer runs complete every day for a month, your monthly charge is based on 4 unique IDs. If the transfer runs complete fewer times than the number of days in the month in which they run, the charges are prorated.</p> <p><strong>Example 2:</strong> You have <strong>multiple transfers</strong> with runs that complete on the same day.</p> <ul> <li>Transfer 1 runs and records the following unique IDs: A, B, and C</li> <li>Transfer 2 runs and records: A</li> <li>Transfer 3 runs and records: C and D</li> </ul> <p>Because the unique IDs are counted in runs for different transfers, you are charged based on <strong>6 unique IDs</strong>: A, B, and C from transfer 1's run; A from transfer 2's run; and C and D from transfer 3's run. If the transfer runs complete fewer times than the number of days in the month in which they run, the charges are prorated.</p> <h2 id="bqomni" class="cloud-jump-section cloud-headline2" data-text="BigQuery Omni pricing">BigQuery Omni pricing</h2> <p>BigQuery Omni offers the following pricing models depending on your workloads and needs.</p> <p><strong>On-Demand compute (analysis) pricing</strong></p> <p>Similar to BigQuery on-demand analysis model, BigQuery Omni queries, by default are billed using the on-demand (per TB) pricing model, where you pay for the data scanned by your queries.</p> <p>With on-demand pricing, you will generally have access to a large pool of concurrent slots, shared among all queries in a single project. Periodically, BigQuery Omni will temporarily burst beyond this limit to accelerate smaller queries. In addition, you might occasionally have fewer slots available if there is a high amount of contention for on-demand capacity in a specific location.</p> <p>BigQuery Omni on-demand (per TB) query pricing is as follows:</p> <p><table> <thead> <tr> <th>Region</th> <th>Price per TB</th> </tr> </thead> <tbody> <tr> <td>AWS North Virginia (aws-us-east-1)</td> <td>$7.82</td> </tr> <tr> <td>Azure North Virginia (azure-eastus2)</td> <td>$9.13</td> </tr> <tr> <td>AWS Seoul (aws-ap-northeast-2)</td> <td>$10.00</td> </tr> </tbody> </table></p> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <p><strong>Pricing details</strong></p> <p>The details and limitations are similar to BigQuery analysis pricing. Note the following regarding on-demand (per TB) query charges:</p> <ul> <li>BigQuery uses a <a href="http://web.archive.org/web/20230727031505/https://en.wikipedia.org/wiki/Column-oriented_DBMS" track-type="inline link">columnar data structure.</a> You're charged according to the total data processed in the columns you select, and the total data per column is calculated based on the types of data in the column. For more information about how your data size is calculated, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#data" track-type="inline link">Data size calculation.</a></li> <li>You aren't charged for queries that return an error or for queries that retrieve <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/cached-results" track-type="inline link">results from the cache.</a> For <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/procedural-language" track-type="inline link">procedural language jobs</a> this consideration is provided at a per-statement level.</li> <li>Charges are rounded up to the nearest MB, with a minimum 10 MB data processed per table referenced by the query, and with a minimum 10 MB data processed per query.</li> <li>Canceling a running query job might incur charges up to the full cost for the query if you let the query run to completion.</li> <li>When you run a query, you're charged according to the data processed in the columns you select, even if you set an explicit <span style="color:green">LIMIT</span> on the results.</li> <li><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/partitioned-tables" track-type="inline link">Partitioning</a> and <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/clustered-tables" track-type="inline link">clustering</a> your tables can help reduce the amount of data processed by queries. As a best practice, use partitioning and clustering whenever possible.</li> <li>On-demand (per TB) pricing is referred to as analysis pricing on the <a href="/web/20230727031505/https://cloud.google.com/skus/?filter=bigquery" track-type="inline link">Google Cloud SKUs</a> page.</li> <li>When you run a query against a clustered table, and the query includes a filter on the clustered columns, BigQuery uses the filter expression to prune the blocks scanned by the query. This can reduce the number of scanned bytes.</li> </ul> <p>BigQuery provides cost control mechanisms that enable you to cap your query costs. You can set:</p> <ul> <li>User-level and project-level <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/custom-quotas" track-type="inline link">custom cost controls.</a></li> <li>The <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/best-practices-costs#limit_query_costs_by_restricting_the_number_of_bytes_billed" track-type="inline link">maximum bytes billed</a> by a query</li> </ul> <p><strong>BigQuery Omni with editions</strong></p> <p>BigQuery Omni regions support <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#editions">BigQuery editions</a>. At present only Enterprise Edition is supported in Omni regions</p> <p>The following table shows the cost of slots in Omni regions</p> <p>AWS North Virginia (aws-us-east-1)</p> <table> <tr> <th>Commitment model</th> <th>Hourly cost</th> <th>Number of slots</th> </tr> <tr> <td>PAYG (no commitment)</td> <td>$7.50 (billed per second with a 1 minute minimum)</td> <td>100</td> </tr> <tr> <td>1 yr commit</td> <td>$6 (billed for 1 year)</td> <td>100</td> </tr> <tr> <td>3 yr commit</td> <td>$4.50 (billed for 3 years)</td> <td>100</td> </tr> </table> <p>Azure North Virginia (azure-eastus2)</p> <table> <tr> <th>Commitment model</th> <th>Hourly cost</th> <th>Number of slots</th> </tr> <tr> <td>PAYG (no commitment)</td> <td>$8.80 (billed per second with a 1 minute minimum)</td> <td>100</td> </tr> <tr> <td>1 yr commit</td> <td>$7 (billed for 1 year)</td> <td>100</td> </tr> <tr> <td>3 yr commit</td> <td>$5.30 (billed for 3 years)</td> <td>100</td> </tr> </table> <p>AWS Seoul (aws-ap-northeast-2)</p> <table> <tr> <th>Commitment model</th> <th>Hourly cost</th> <th>Number of slots</th> </tr> <tr> <td>PAYG (no commitment)</td> <td>$9.60 (billed per second with a 1 minute minimum)</td> <td>100</td> </tr> <tr> <td>1 yr commit</td> <td>$7.7 (billed for 1 year)</td> <td>100</td> </tr> <tr> <td>3 yr commit</td> <td>$5.80 (billed for 3 years)</td> <td>100</td> </tr> </table> <p><strong>Omni Internet Data Transfer</strong></p> <p>When using the Cross Cloud Transfer in preview, there will be no additional charges for data transfer.</p> <p>Starting 1st November 2022, this service will be generally available and you will be charged for data transfer. You will be charged for data transfer only when loading files or copying tables from an AWS or Azure region to a Google Cloud BigQuery region. You will be charged on a per GB rate based on the amount of data transferred from AWS or Azure to Google Cloud.</p> <table> <thead> <tr> <th>SKU</th> <th>Billing model</th> <th>Meter</th> <th>List price</th> </tr> </thead> <tbody> <tr> <td>[BigQuery] BigQuery Omni: BigQuery Omni Data Transfer AWS East-1 > Google Cloud </td> <td>usage-based</td> <td>GB transferred</td> <td>$.09</td> </tr> <tr> <td>[BigQuery] BigQuery Omni: BigQuery Omni Data Transfer Azure EastUS-2 > Google Cloud</td> <td>usage-based</td> <td>GB transferred</td> <td>$.0875</td> </tr> </tbody> </table> <h2 id="data_ingestion_pricing" class="cloud-jump-section cloud-headline2" data-text="Data ingestion pricing">Data ingestion pricing</h2> <p>BigQuery offers two modes of data ingestion:</p> <ul> <li><p><strong>Batch loading</strong>. Load the source data into one or more BigQuery tables in a single batch operation.</p></li> <li><p><strong>Streaming</strong>. Stream data one record at a time or in small batches.</p></li> </ul> <p>For more information about which mode to choose, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/loading-data" track-type="inline link">Introduction to loading data</a>.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Operation', 'Pricing', 'Details']}, {'cells': ['Batch Loading', 'Free using the shared slot pool.', 'Customers can choose <a hrf=`/bigquery/pricing#capacity_compute_analysis_pricing`>editions pricing</a>\n for guaranteed capacity. Once the data is loaded into BigQuery, you are\n charged for storage.']}, {'cells': ['Streaming inserts (tabledata.insertAll)', {'priceByRegion': {'us': '0.010', 'eu': '0.010'}, 'taxonomy': 'gcp.analytics.gbq.streaming.streamingInsertBytes', 'decimalPlaces': 4, 'format': '%{price}% per 200 MB'}, 'You are charged for rows that are successfully inserted. Individual rows are calculated using a 1 KB minimum size.']}, {'cells': ['BigQuery Storage Write API', {'priceByRegion': {'us': '0.025', 'eu': '0.025'}, 'taxonomy': 'gcp.analytics.gbq.streaming.writeUsage.storageApiWriteUsage', 'tierIndex': 1, 'decimalPlaces': 5, 'format': '%{price}% per 1 GiB'}, 'The first 2 TB per month are free.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12,asia,europewest5,useast1aws,useast2azu"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="data-ingestion-pricing-details" class="hide-from-toc" data-text="Pricing details">Pricing details</h3> <p>By default, you are not charged for batch loading data from Cloud Storage or from local files into BigQuery. Load jobs by default use a shared pool of slots. BigQuery does not make guarantees about the available capacity of this shared pool or the throughput you will see. Alternatively, you can purchase dedicated slots to run load jobs. You are charged <a href="#analysis_pricing_models" track-type="inline link">editions pricing</a> for dedicated slots. When load jobs are assigned to a reservation, they lose access to the free pool. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro#assignments" track-type="inline link">Assignments</a>.</p> <p>Once your data is loaded into BigQuery, it is subject to BigQuery <a href="#storage" track-type="inline link">storage pricing</a>. If you load data from Cloud Storage, you are charged for storing the data in Cloud Storage. For details, see <a href="/web/20230727031505/https://cloud.google.com/storage/pricing#storage-pricing" track-type="inline link">Data storage</a> on the Cloud Storage pricing page.</p> <h2 id="data_extraction_pricing" class="cloud-jump-section cloud-headline2" data-text="Data extraction pricing">Data extraction pricing</h2> <p>BigQuery offers two modes of data extraction:</p> <ul> <li><p><strong>Batch export</strong>. Export table data to Cloud Storage.</p></li> <li><p><strong>Streaming reads</strong>. Use the Storage Read API to perform streaming reads of table data.</p></li> </ul> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Operation', 'Pricing', 'Details']}, {'cells': ['Batch exports', 'Free using the shared slot pool.', 'You can export up to <a hrf=`/bigquery/quotas#export_jobs`>50 terabytes per day</a>\n for free using the shared slot pool. You are charged for the data stored in Cloud Storage.']}, {'cells': ['Streaming reads (BigQuery Storage Read API)', {'priceByRegion': {'us': '1.1', 'eu': '1.1'}, 'taxonomy': 'GCP.Analytics.GBQ.Streaming.Storage_API_Read.StorageReadApiBytesScanned', 'tierIndex': 1, 'format': '%{price}% per TB read'}, 'Customers can read up to 300 TB of data per month at no charge.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12,asia,useast1aws,useast2azu"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="bigquery_storage_read_api_network_egress_within_google_cloud" data-text="BigQuery Storage Read API Network Egress Within Google Cloud">BigQuery Storage Read API Network Egress Within Google Cloud</h3> <table> <thead> <tr> <th>Case</th> <th>Examples</th> <th>Rate</th> </tr> </thead> <tbody> <tr> <td> Accessing query results from <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/cached-results#how_cached_results_are_stored" track-type="inline link"> temporary tables</a> </td> <td> <ul> <li>Temporary tables "anonymous dataset"</li> </ul> </td> <td>Free</td> </tr> <tr> <td>Data reads within the same location</td> <td> <ul> <li>From <code translate="no" dir="ltr">us-east1</code> to <code translate="no" dir="ltr">us-east1</code></li> </ul> </td> <td>Free</td> </tr> <tr> <td> Data read from a <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/locations#multi-regional-locations" track-type="inline link"> BigQuery multi-region</a> to a different BigQuery location, and both locations are on the same continent. </td> <td> <ul> <li>From <code translate="no" dir="ltr">us</code> to <code translate="no" dir="ltr">us-east1</code></li> <li>From <code translate="no" dir="ltr">eu</code> to <code translate="no" dir="ltr">europe-west1</code></li> </ul> </td> <td>Free</td> </tr> <tr> <td> Data read between different locations on the same continent (assuming none of the above free cases apply) </td> <td> <ul> <li> From <code translate="no" dir="ltr">us-east1</code> to <code translate="no" dir="ltr">northamerica-northeast1</code> </li> <li>From <code translate="no" dir="ltr">europe-west1</code> to <code translate="no" dir="ltr">europe-north1</code></li> </ul> </td> <td>$0.01/GiB*</td> </tr> <tr> <td> Data moves between different continents within Google cloud and neither is Australia. </td> <td> <ul> <li>From <code translate="no" dir="ltr">us</code> to <code translate="no" dir="ltr">asia</code></li> <li> From <code translate="no" dir="ltr">europe-west1</code> to <code translate="no" dir="ltr">southamerica-east1</code> </li> </ul> </td> <td>$0.08 per GiB</td> </tr> <tr> <td> Data moves between different continents within Google cloud and one is Australia. </td> <td> <ul> <li>From <code translate="no" dir="ltr">us</code> to <code translate="no" dir="ltr">australia-southeast1</code></li> <li> From <code translate="no" dir="ltr">australia-southeast1</code> to <code translate="no" dir="ltr">europe-west1</code> </li> </ul> </td> <td>$0.15 per GiB</td> </tr> </tbody> </table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="bigquery_storage_read_api_general_network_usage" data-text="BigQuery Storage Read API General Network Usage">BigQuery Storage Read API General Network Usage</h3> <table> <thead> <tr> <th>Monthly Usage</th> <th> Egress to Worldwide Destinations (excluding Asia & Australia)<br>(per GiB) </th> <th> Egress to Asia Destinations (excluding China, but including Hong Kong)<br>(per GiB) </th> <th>Egress to China Destinations (excluding Hong Kong)<br>(per GiB)</th> <th>Egress to Australia Destinations <br>(per GiB)</th> <th>Ingress</th> </tr> </thead> <tbody> <tr> <td>0-1 TB</td> <td>$0.12</td> <td>$0.12</td> <td>$0.19</td> <td>$0.19</td> <td>Free</td> </tr> <tr> <td>1-10 TB</td> <td>$0.11</td> <td>$0.11</td> <td>$0.18</td> <td>$0.18</td> <td>Free</td> </tr> <tr> <td>10+ TB</td> <td>$0.08</td> <td>$0.08</td> <td>$0.15</td> <td>$0.15</td> <td>Free</td> </tr> </tbody> </table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="data-extraction-pricing-details" class="hide-from-toc" data-text="Pricing details">Pricing details</h3> <h4 id="exporting_data" data-text="Exporting data">Exporting data</h4> <p>You are not charged for network egress traffic when exporting data from BigQuery to a Cloud Storage bucket in the same region.</p> <h4 id="storage-api" data-text="Storage Read API pricing">Storage Read API pricing</h4> <p>The Storage Read API has an on-demand price model. With on-demand pricing, BigQuery charges for the number of bytes processed (also referred to as bytes read). On-demand pricing is solely based on usage, with a bytes read free tier of 300 TB per month for each billing account. Bytes scanned as part of reads from <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/cached-results#how_cached_results_are_stored" track-type="inline link">temporary tables</a> are free and do not count against the 300TB free tier. This free bytes read 300 TB is on the bytes-read component, and does not apply to associated egress.</p> <p>Note the following regarding Storage Read API charges:</p> <ul> <li>You are charged according to the total amount of data read. The total data read per column is calculated based on the type of data in the column, and the size of the data is calculated based on the column's data type. For a detailed explanation of how data size is calculated, see <a href="#data" track-type="inline link">Data size calculation</a>.</li> <li>You are charged for any data read in a read session even if a <code translate="no" dir="ltr">ReadRows</code> call fails.</li> <li>If you cancel a <code translate="no" dir="ltr">ReadRows</code> call before the end of the stream is reached, you are charged for any data read before the cancellation. Your charges can include data that was read but not returned to you before the cancellation of the <code translate="no" dir="ltr">ReadRows</code> call.</li> <li>As a best practice, use partitioned and clustered tables whenever possible. You can reduce the amount of data read by using a <code translate="no" dir="ltr">WHERE</code> clause to prune partitions. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/querying-partitioned-tables#querying_partitioned_tables_2" track-type="inline link">Querying partitioned tables</a>.</li> <li>When using Interconnect, Cloud <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/network-connectivity/docs/interconnect/pricing#egress-traffic-from-a-vpc-network-through-an-interconnect-connection_1" track-type="inline link">Interconnect pricing</a> applies instead of BigQuery Storage Read API General Network Usage prices.</li> </ul> <h2 id="data_replication" class="cloud-jump-section cloud-headline2" data-text="Data replication pricing">Data replication pricing</h2> <p>BigQuery Data replication pricing has two key components:</p> <h3 id="replication_pricing" data-text="BigQuery Replication pricing:">BigQuery Replication pricing:</h3> <ul> <li>Data replication storage honors the BigQuery storage pricing and the replicated data is charged according to the <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#storage">BigQuery storage pricing</a>.</li> </ul> <h3 id="cross_region_replication_network_egress_pricing" data-text="BigQuery Cross Region Replication Network Egress pricing*">BigQuery Cross Region Replication Network Egress pricing<sup>*</sup></h3> <ul> <li>Network egress charges cross region for data replicated during data replication</li> <li>Use cases and breakdown of network egress charges is provided below</li> </ul> <table> <thead> <tr> <th>Case</th> <th>Example</th> <th>Rate</th> </tr> </thead> <tbody> <tr> <td>Replication within the same location</td> <td>From us-east1 to us-east1</td> <td>Free</td> </tr> <tr> <td>Replication across locations</td> <td>From us-east1 to us-central1</td> <td>Table below</td> </tr> </tbody> </table> <aside class="note"><strong>Note:</strong><span> All prices are in $/GiB. All GiB are in Physical Storage</span></aside> <table> <thead> <tr> <th><b>Bucket location</b></th> <th colspan="7" style="text-align: center"><b>Destination location</b></th> </tr> </thead> <tbody> <tr> <th></th> <th>Northern America</th> <th>Europe</th> <th>Asia</th> <th>Indonesia</th> <th>Oceania</th> <th>Middle East</th> <th>Latin America</th> </tr> <tr> <th>Northern America</th> <td>$0.02/GiB</td> <td>$0.05/GiB</td> <td>$0.08/GiB</td> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.11/GiB</td> <td>$0.14/GiB</td> </tr> <tr> <th>Europe</th> <td>$0.05/GiB</td> <td>$0.02/GiB</td> <td>$0.08/GiB</td> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.11/GiB</td> <td>$0.14/GiB</td> </tr> <tr> <th>Asia</th> <td>$0.08/GiB</td> <td>$0.08/GiB</td> <td>$0.08/GiB</td> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.11/GiB</td> <td>$0.14/GiB</td> </tr> <tr> <th>Indonesia</th> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.08/GiB</td> <td>$0.11/GiB</td> <td>$0.14/GiB</td> </tr> <tr> <th>Oceania</th> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.10/GiB</td> <td>$0.08/GiB</td> <td>$0.08/GiB</td> <td>$0.11/GiB</td> <td>$0.14/GiB</td> </tr> <tr> <th>Middle East</th> <td>$0.11/GiB</td> <td>$0.11/GiB</td> <td>$0.11/GiB</td> <td>$0.11/GiB</td> <td>$0.11/GiB</td> <td>$0.11/GiB</td> <td>$0.14/GiB</td> </tr> <tr> <th>Latin America</th> <td>$0.14/GiB</td> <td>$0.14/GiB</td> <td>$0.14/GiB</td> <td>$0.14/GiB</td> <td>$0.14/GiB</td> <td>$0.14/GiB</td> <td>$0.20/GiB</td> </tr> </tbody> </table> <h2 id="bqml" class="cloud-jump-section cloud-headline2" data-text="BigQuery ML pricing">BigQuery ML pricing</h2> <p>BigQuery ML <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/bigqueryml-intro#overview" track-type="inline link">models</a> can be classified into two different categories: built-in models and external models. BigQuery ML built-in models are trained within BigQuery, such as linear regression, logistic regression, means, matrix factorization, PCA and time series models (e.g., ARIMA_PLUS). BigQuery ML external models are trained utilizing other Google Cloud services, DNN, boosted tree and random forest (which are trained on <a href="/web/20230727031505/https://cloud.google.com/vertex-ai" track-type="inline link">Vertex AI</a>) and AutoML models (which are trained on the <a href="/web/20230727031505/https://cloud.google.com/vertex-ai/docs/tabular-data/classification-regression/overview" track-type="inline link">Vertex AI Tables backend</a>). BigQuery ML model training pricing is based on the model type as well as your usage pattern: editions or on-demand. BigQuery ML prediction and evaluation functions are executed within BigQuery ML for all model types, priced as explained below.</p> <h3 id="ml_editions_pricing" data-text="BigQuery ML editions pricing">BigQuery ML editions pricing</h3> <p>BigQuery ML is available in Enterprise and Enterprise Plus Editions for customers who prefer a compute capacity (number of slots) based pricing model over the on-demand (number of bytes processed) model. Customers can use Enterprise or Enterprise Plus reservations to use all features of BigQuery ML. BigQuery ML usage will be included in the BigQuery Editions usage.</p> <h4 id="reservations_to_create_built-in_models" data-text="Reservations to create built-in models">Reservations to create built-in models</h4> <p>BigQuery has three job types for reservation assignment: <code translate="no" dir="ltr">QUERY</code>, <code translate="no" dir="ltr">PIPELINE</code>, and <code translate="no" dir="ltr">ML_EXTERNAL</code>. <code translate="no" dir="ltr">QUERY</code> assignments, which are used for analytical queries, are also used to run <code translate="no" dir="ltr">CREATE MODEL</code> queries for BigQuery ML built-in models. Built-in model training and analytical queries share the same pool of resources in their assigned reservations, and have the same behavior regarding being preemptible, and using idle slots from other reservations.</p> <h4 id="reservations_to_create_external_models" data-text="Reservations to create external models">Reservations to create external models</h4> <p>Because external models are trained outside of BigQuery, these workloads are not preemptible. As a result, to ensure other workloads are not impacted, only reservations with <code translate="no" dir="ltr">ML_EXTERNAL</code> job type assignment can be used for these external jobs. <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-workload-management" track-type="inline link">Reservations workload management</a> describes how to create reservations for external model training jobs. The slots usage per job is calculated to maintain the price parity between BigQuery slots and external Google Cloud service costs.</p> <aside class="note"><strong>Note:</strong><span> You can add a <code translate="no" dir="ltr">ML_EXTERNAL</code> job type assignment to reservations that you want to use for building BigQuery ML external models. When slots in the reservation are shared by both <code translate="no" dir="ltr">QUERY</code>/<code translate="no" dir="ltr">PIPELINE</code> and <code translate="no" dir="ltr">ML_EXTERNAL</code> jobs, <code translate="no" dir="ltr">QUERY</code>/<code translate="no" dir="ltr">PIPELINE</code> jobs can use the slots only when they are available. Thus, it is important to ensure all critical <code translate="no" dir="ltr">QUERY</code> and <code translate="no" dir="ltr">PIPELINE</code> jobs run in their own reservations, as <code translate="no" dir="ltr">ML_EXTERNAL</code> jobs are not preemptible. <code translate="no" dir="ltr">ML_EXTERNAL</code> jobs cannot use idle slots from other reservations. On the other hand, if slots in this reservation (with <code translate="no" dir="ltr">ML_EXTERNAL</code> assignment) are available, jobs from other reservations (with ignore_idle_slots=false) can use them.</span></aside><aside class="note"><strong>Note:</strong><span> To create an AutoML Tables model, you need approximately 1000 <code translate="no" dir="ltr">ML_EXTERNAL</code> slots. The number of slots is subject to change based on <a href="/web/20230727031505/https://cloud.google.com/vertex-ai/docs/tabular-data/classification-regression/overview" track-type="inline link">Vertex AI Tables backend</a> pricing. Meanwhile, the number of external slots used to train other BigQuery ML external models (such as DNN, Boosted Tree, Random Forest etc.) is dynamically determined in order to scale the training job horizontally. More specifically, the Vertex AI training scale tier (Virtual Machine configurations for chief worker, parameter servers and workers) is determined at runtime based on the training data size and model type. The BigQuery ML service then reserves a number of slots equivalent to the total VM price from your <code translate="no" dir="ltr">ML_EXTERNAL</code> reservations.</span></aside> <h3 id="ml_on_demand_pricing" data-text="BigQuery ML on-demand pricing">BigQuery ML on-demand pricing</h3> <p>BigQuery ML pricing for on-demand queries depends on the type of operation: model type, model creation, model evaluation, model inspection, or model prediction.</p> <aside class="note"><strong>Note:</strong><span> Matrix factorization models are only available to editions customers or customers with <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro" track-type="inline link">reservations</a>.</span></aside> <p>BigQuery ML on-demand pricing is as follows:</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Operation', 'Pricing', 'Details']}, {'noBorder': True, 'cells': ['Logistic regression model creation<sup>1</sup>', {'priceByRegion': {'asiasouth2': 6}, 'taxonomy': 'gcp.analytics.gbq.analysis.on_demand.analysis', 'tierIndex': 1, 'format': '%{price * 50}% per TB'}, 'The first 10 GiB of data processed by <b>CREATE MODEL</b> statements per month is free under the BigQuery free tier.']}, {'noBorder': True, 'cells': ['Linear regression model creation<sup>1</sup>', '', 'An additional label is added to the billing record to distinguish between BigQuery ML model creation and regular BigQuery costs.']}, {'noBorder': True, 'cells': ['K-means clustering model creation<sup>1</sup>', '', '<ul>\n <li>\n <b>{key: bigquery.googleapis.com/bqml, value:bqml_model_type_training}</b>\n </li>\n </ul>']}, {'noBorder': True, 'cells': ['PCA model creation']}, {'cells': ['Time series model creation<sup>1,2</sup>']}, {'noBorder': True, 'cells': ['AutoML Tables model creation<sup>1</sup>', {'priceByRegion': {'asiasouth2': '6.00'}, 'taxonomy': 'gcp.analytics.gbq.analysis.on_demand.analysis', 'tierIndex': 1, 'format': '%{price}% per TB, plus Vertex AI training cost'}, 'The total cost of a job is the sum of the following two costs:']}, {'noBorder': True, 'cells': ['DNN model creation<sup>1</sup>', '', '<ul>\n <li>BigQuery data processing cost (for preprocessing)</li>\n <li>Passthrough Vertex AI cost (for training)</li>\n </ul>']}, {'noBorder': True, 'cells': ['Wide-and-Deep model creation<sup>1</sup>', '', 'The cost is converted to BigQuery ML bytes processed, and two\n billing records with different labels are reported for the job:']}, {'noBorder': True, 'cells': ['Boosted tree model creation', '', '<ul>\n <li><b>{key: bigquery.googleapis.com/bqml, value:bqml_analytic}</b> for BigQuery costs</li>\n <li><b>{key: bigquery.googleapis.com/bqml, value:cloud_service_name}</b> for external Vertex AI service costs, where cloud_service_name is the Vertex AI service which was used</li>\n </ul>']}, {'noBorder': True, 'cells': ['Random forest model creation', '', '<br><br><br><br>']}, {'cells': ['Autoencoder model creation<sup>1</sup>', '', '<br><br><br><br>']}, {'cells': ['Matrix factorization model creation', 'Not supported', 'Matrix factorization is only available to editions customers or customers with <a hrf=`/bigquery/docs/reservations-intro`>reservations</a> (Enterprise or Enterprise+).']}, {'cells': ['Evaluation, inspection, and prediction (all model types except remote model<sup>3</sup>)', {'priceByRegion': {'asiasouth2': '6.00'}, 'taxonomy': 'gcp.analytics.gbq.analysis.on_demand.analysis', 'tierIndex': 1, 'format': '%{price}% per TB'}, 'Charges from evaluation, inspection, and prediction queries\n are included in the 1 TB of data per month under the BigQuery analysis free tier.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12,asia,europewest5" surfaceregions="asiasouth2"> </cloudx-pricing-table> <small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small> <p><sup>1</sup> The <code translate="no" dir="ltr">CREATE MODEL</code> statement stops at 50 iterations for iterative models. This applies to both on-demand and editions pricing.</p> <p><sup>2</sup> For time series models, when auto-arima is enabled for automatic hyper-parameter tuning, multiple candidate models are fitted and evaluated during the training phase. In this case, the number of bytes processed by the input <code translate="no" dir="ltr">SELECT</code> statement is multiplied by the number of candidate models, which can be controlled by the <a href="/web/20230727031505/https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-create-time-series#auto_arima_max_order" track-type="inline link">AUTO_ARIMA_MAX_ORDER </a> training option for <code translate="no" dir="ltr">ARIMA_PLUS</code> or the <a href="/web/20230727031505/https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-create-multivariate-time-series#auto_arima_max_order" track-type="inline link">AUTO_ARIMA_MAX_ORDER </a> training option for <code translate="no" dir="ltr">ARIMA_PLUS_XREG</code>. This applies to both on-demand and editions pricing. The following notes apply to time series model creation:</p> <ul> <li><p>For single time series forecasting with auto-arima enabled, when <code translate="no" dir="ltr">AUTO_ARIMA_MAX_ORDER</code> is (1, 2, 3, 4, 5), the number of candidate models is (6, 12, 20, 30, 42) respectively if non-seasonal <em>d</em> equals one; otherwise, the number of candidate models is (3, 6, 10, 15, 21).</p></li> <li><p>For multiple time series forecasting using <code translate="no" dir="ltr">TIME_SERIES_ID_COL</code>, the charge is for (6, 12, 20, 30, 42) candidate models when <code translate="no" dir="ltr">AUTO_ARIMA_MAX_ORDER</code> is (1, 2, 3, 4, 5) respectively.</p></li> <li><p>Note that this model selection only applies to model creation. For model evaluation, inspection, and prediction, only the selected model is used, with regular query pricing.</p></li> </ul> <p><sup>3</sup> See BigQuery ML Remote Model Inference for details.</p></p> <h3 id="remote_model_inference_preview" data-text="BigQuery ML remote model inference (Preview)">BigQuery ML remote model inference (Preview)</h3> <p>BigQuery ML lets customers create a remote model whose endpoint is either a Vertex AI online prediction endpoint or that points to Cloud AI APIs like Cloud AI Vision API.</p> <p>The pricing for BigQuery ML remote model inference has the following parts: <ol> <li>The bytes processed by BigQuery are billed according to standard pricing such as on-demand or editions pricing.</li> <li>In addition, costs are incurred for the remote endpoint as follows: <table> <tr> <th>Remote Model types</th> <th>Inference functions</th> <th>Pricing</th> </tr> <tr> <td>Vertex AI endpoints</td> <td>ML.PREDICT</td> <td><a href="/web/20230727031505/https://cloud.google.com/vertex-ai/pricing" track-type="inline link"> https://cloud.google.com/vertex-ai/pricing</a></td> </tr> <tr> <td>Cloud AI Vision</td> <td>ML.ANNOTATE_IMAGE</td> <td><a href="/web/20230727031505/https://cloud.google.com/vision/pricing" track-type="inline link"> https://cloud.google.com/vision/pricing</a></td> </tr> <tr> <td>Cloud AI Translate</td> <td>ML.TRANSLATE</td> <td><a href="/web/20230727031505/https://cloud.google.com/translate/pricing" track-type="inline link"> https://cloud.google.com/translate/pricing</a></td> </tr> <tr> <td>Cloud AI NLP</td> <td>ML.UNDERSTAND_TEXT</td> <td><a href="/web/20230727031505/https://cloud.google.com/natural-language/pricing" track-type="inline link"> https://cloud.google.com/natural-language/pricing</a></td> </tr> <tr> <td>Vertex AI LLM</td> <td>ML.GENERATE_TEXT</td> <td><a href="/web/20230727031505/https://cloud.google.com/vertex-ai/pricing#generative_ai_models" track-type="inline link"> https://cloud.google.com/vertex-ai/pricing#generative_ai_models</a></td> </tr> </table> </li> </ol></p> <p>For remote endpoint model pricing, there will be a separate bill from the above services. You may use the billing label billing_service = 'bigquery_ml' and the billing label bigquery_job_id to filter the exact charges.</p> <h3 id="dry_run" data-text="BigQuery ML dry run">BigQuery ML dry run</h3> <p>Due to the nature of the underlying algorithms of some model types and differences in billing, the bytes processed will not be calculated for some model types until after training is completed due to the complexity of calculating the initial estimate.</p> <h3 id="bqmlexamples" data-text="BigQuery ML pricing example">BigQuery ML pricing example</h3> <p>BigQuery ML charges are not itemized separately on your billing statement. For current models, if you have BigQuery Editions, BigQuery ML charges are included.</p> <p>If you are using <a href="#ml_on_demand_pricing" track-type="inline link">on-demand</a> pricing, BigQuery ML charges are included in the BigQuery analysis (query) charges.</p> <p>BigQuery ML jobs that perform inspection, evaluation, and prediction operations incur the same charges as on-demand query jobs. Because <code translate="no" dir="ltr">CREATE MODEL</code> queries incur different charges, you must calculate <code translate="no" dir="ltr">CREATE MODEL</code> job costs independently by using the Cloud logging audit logs. Using the audit logs, you can determine the bytes billed by the BigQuery ML service for each BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> job. Then, multiply the bytes billed by the appropriate cost for <code translate="no" dir="ltr">CREATE MODEL</code> queries in your regional or multi-regional location.</p> <p>For example, to determine the cost of a query job in the <code translate="no" dir="ltr">US</code> that includes a BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> statement:</p> <ol> <li><p>Open the <a href="http://web.archive.org/web/20230727031505/https://console.cloud.google.com/logs/query" track-type="inline link">Cloud Logging</a> page in the Google Cloud console.</p></li> <li><p>Verify that the product is set to BigQuery.</p></li> <li><p>Click the drop-down arrow in the "Filter by label or text search" box and choose <strong>Convert to advanced filter</strong>. This adds the following text to the filter:</p> <pre class="prettyprint" translate="no" dir="ltr"><code translate="no" dir="ltr">resource.type="bigquery_resource" </code></pre></li> <li><p>Add the following text on line two below the <code translate="no" dir="ltr">resource.type</code> line:</p> <pre class="prettyprint" translate="no" dir="ltr"><code translate="no" dir="ltr">protoPayload.serviceData.jobCompletedEvent.job.jobConfiguration.query.statementType="CREATE_MODEL" </code></pre></li> <li><p>To the right of the <strong>Submit Filter</strong> button, choose the appropriate time frame from the drop-down list. For example, choosing <strong>Last 24 hours</strong> would display BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> jobs completed in the past 24 hours.</p></li> <li><p>Click <strong>Submit Filter</strong> to display the jobs completed in the given time window.</p></li> <li><p>After the data is populated, click <strong>View Options</strong> and choose <strong>Modify custom fields</strong>.</p></li> <li><p>In the <strong>Add custom fields</strong> dialog, enter:</p> <pre class="prettyprint" translate="no" dir="ltr"><code translate="no" dir="ltr">protoPayload.serviceData.jobCompletedEvent.job.jobStatistics.totalBilledBytes </code></pre></li> <li><p>Click <strong>Save</strong> to update the results.</p></li> <li><p>After the page is updated, the bytes billed by each BigQuery ML job appear to the right of the job's timestamp. If the bytes billed are included in the <a href="#free-tier" track-type="inline link">free tier</a>, no value appears. For example:</p> <p><img src="/web/20230727031505im_/https://cloud.google.com/static/bigquery/images/bqml-billing.png" alt="BigQuery ML bytes billed" track-type="inline-link" class="screenshot"> </p></li> <li><p>To calculate the charges for the BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> job, multiply the bytes billed by the <a href="#ml_on_demand_pricing" track-type="inline link">BigQuery ML on-demand price</a>. In this example, the <code translate="no" dir="ltr">CREATE MODEL</code> job processed 100873011200 bytes. To calculate the cost of this job in the <code translate="no" dir="ltr">US</code> multi-regional location, divide the billed bytes by the number of bytes per TB, and multiply it by the model creation cost:</p> <p><code translate="no" dir="ltr">100873011200/1099511627776 x $250.00 = $22.94</code></p></li> </ol> <aside class="note"><strong>Note:</strong><span> Currently, Cloud logging metrics are not available for BigQuery ML. When available, Cloud logging metrics will allow you to view BigQuery ML bytes billed in graphs with custom aggregations.</span></aside> <h2 id="bi_engine_pricing" class="cloud-jump-section cloud-headline2" data-text="BI Engine pricing">BI Engine pricing</h2> <p><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/bi-engine-intro" track-type="inline link">BI Engine</a> accelerates SQL queries by caching BigQuery data in memory. The amount of data stored is constrained by the amount of capacity you purchase. To purchase BI Engine capacity, create a BI Engine reservation in the project where queries will be run.</p> <p>When BI Engine accelerates a query, the query stage that reads table data is free. Subsequent stages depend on the type of BigQuery pricing you're using:</p> <ul> <li><p>For <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#on_demand_pricing" track-type="inline link">on-demand pricing</a>, stages that use BI Engine are charged for 0 scanned bytes. Subsequent stages will not incur additional on-demand charges.</p></li> <li><p>For <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#capacity_compute_analysis_pricing" track-type="inline link">editions pricing</a>, the first stage consumes no BigQuery reservation slots. Subsequent stages use slots from the BigQuery reservation.</p></li> </ul> <p>BI Engine pricing is as follows:</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Resource', 'Pricing', 'Details']}, {'cells': ['Memory capacity', {'taxonomy': 'gcp.analytics.gbq.bigQuery_bI_engine.flat_rate.bigQueryBIEngineFlatRateHourly', 'decimalPlaces': 4, 'format': '%{price}% per GiB per %{rate}%'}, 'You are charged per GiB/hour for each project in which you have <a hrf=`/bigquery/docs/bi-engine-reserve-capacity`>reserved capacity</a>.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="useast5,ussouth1"> </cloudx-pricing-table> <small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="editions_analysis_bundle" data-text="Editions analysis bundle">Editions analysis bundle</h3> <p>When you are using BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#capacity_compute_analysis_pricing">capacity compute pricing</a> with BigQuery editions commitments, you are eligible to receive a limited amount of BI Engine capacity as part of your editions price, at no extra cost, as shown in the following chart. To receive BI Engine capacity at no additional cost, follow the instructions to <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/bi-engine-reserve-capacity">reserve capacity</a> in a project within the same organization as your editions reservation. To ensure a particular project’s BI Engine reservation is discounted toward this bundled capacity, there should be some slots assigned to the project. BI Engine reservation in an 'on-demand analysis' project will not be counted towards the free capacity. Free capacity is shown in your Billing Reports as a normal cost, but it is discounted as a "Spending-Based Discount".</p> <table> <thead> <tr> <th>Number of slots purchased</th> <th>No-cost, additional BI Engine capacity (GiB)</th> </tr> </thead> <tbody> <tr> <td>100</td> <td>5</td> </tr> <tr> <td>500</td> <td>25</td> </tr> <tr> <td>1000</td> <td>50</td> </tr> <tr> <td>1500</td> <td>75</td> </tr> <tr> <td>2000</td> <td>100 (maximum per organization)</td> </tr> </tbody> </table> <h2 id="free" class="cloud-jump-section cloud-headline2" data-text="Free operations">Free operations</h2> <p>The following BigQuery operations are free of charge in every location. <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas" track-type="inline link">Quotas and limits</a> apply to these operations.</p> <table> <tr> <th>Operation</th> <th>Details</th> </tr> <tr> <td>Load data</td> <td>Free using the shared slot pool. Customers can choose <a href="#capacity_compute_analysis_pricing" track-type="inline link">editions pricing</a> for guaranteed capacity. Once the data is loaded into BigQuery, you are charged for storage. For details, see <a href="#capacity_compute_analysis_pricing" track-type="inline link">Data ingestion editions pricing</a>. </td> </tr> <tr> <td>Copy data</td> <td>You are not charged for copying a table, but you do incur charges Data ingestion editions pricing or storing the new table and the table you copied. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/managing-tables#copy-table" track-type="inline link">Copying an existing table</a>.</td> </tr> <tr> <td>Export data</td> <td>Free using the shared slot pool, but you do incur charges for storing the data in Cloud Storage. Customers can choose <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#capacity_compute_analysis_pricing" track-type="inline link">editions pricing</a> for guaranteed capacity. When you use the <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/other-statements#export_data_statement" track-type="inline link">EXPORT DATA SQL statement</a>, you are charged for query processing. For details, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#exporting_data" track-type="inline link">Exporting data</a>.</td> </tr> <tr> <td>Delete operations</td> <td>You are not charged for deleting datasets or tables, deleting individual table partitions, deleting views, or deleting user-defined functions</td> </tr> <tr> <td>Metadata operations</td> <td>You are not charged for list, get, patch, update and delete calls. Examples include (but are not limited to): listing datasets, updating a dataset's access control list, updating a table's description, or listing user-defined functions in a dataset.</td> </tr> </table> <h2 id="free-tier" class="cloud-jump-section cloud-headline2" data-text="Free usage tier">Free usage tier</h2> <p>As part of the <a href="/web/20230727031505/https://cloud.google.com/free" track-type="inline link">Google Cloud Free Tier</a>, BigQuery offers some resources free of charge up to a specific limit. These free usage limits are available during and after the free trial period. If you go over these usage limits and are no longer in the free trial period, you will be charged according to the pricing on this page. You can try BigQuery's free tier in the <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/sandbox" track-type="inline link">BigQuery sandbox</a> without a credit card.</p> <table> <thead> <tr> <th>Resource</th> <th>Monthly free usage limits</th> <th>Details</th> </tr> </thead> <tbody> <tr> <td>Storage</td> <td>The first 10 GiB per month is free.</td> <td>BigQuery ML models and training data stored in BigQuery are included in the BigQuery storage free tier.</td> </tr> <tr> <td>Queries (analysis)</td> <td>The first 1 TB of query data processed per month is free.</td> <td><p>Queries that use BigQuery ML prediction, inspection, and evaluation functions are included in the BigQuery analysis free tier. BigQuery ML queries that contain <code translate="no" dir="ltr">CREATE MODEL</code> statements are not.</p> <p>BigQuery <a href="#capacity_compute_analysis_pricing" track-type="inline link">Editions pricing</a> is also available for high-volume customers that prefer a stable, monthly cost.</p></td> </tr> <tr> <td>BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> queries</td> <td>The first 10 GiB of data processed by queries that contain <code translate="no" dir="ltr">CREATE MODEL</code> statements per month is free.</td> <td>BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> queries are independent of the BigQuery analysis free tier, and only apply to BigQuery ML built-in models (models that are trained within BigQuery).</td> </tr> <tr> <td>BI Engine</td> <td>Up to 1 GiB of free capacity for Looker Studio users.</td> <td>This free capacity is available to all Looker Studio users, without needing a reservation.</td> </tr> </tbody> </table> <h2 id="flat-rate_model_is_no_longer_sold_as_of_july_5_2023" class="cloud-jump-section cloud-headline2" data-text="BigQuery Flat-Rate Model is no longer sold as of July 5, 2023">BigQuery Flat-Rate Model is no longer sold as of July 5, 2023</h2> <p>"Only available to customers with fixed priced flat-rate prior to end of sale"</p> <h1 id="pricing" class="page-title cloud-jump-section cloud-headline1" data-text="BigQuery pricing">BigQuery pricing</h1> <p>BigQuery is a serverless data analytics platform. You don't need to provision individual instances or virtual machines to use BigQuery. Instead, BigQuery automatically allocates computing resources as you need them. BigQuery pricing reflects this architecture.</p> <h2 id="overview_of_pricing" class="cloud-jump-section cloud-headline2" data-text="Overview of BigQuery pricing">Overview of BigQuery pricing</h2> <p>BigQuery pricing has two main components:</p> <ul> <li><p><a href="#analysis_pricing_models" track-type="inline link"><strong>Compute (analysis) pricing</strong></a> is the cost to process queries, including SQL queries, user-defined functions, scripts, and certain data manipulation language (DML) and data definition language (DDL) statements.</p></li> <li><p><a href="#storage" track-type="inline link"><strong>Storage pricing</strong></a> is the cost to store data that you load into BigQuery.</p></li> </ul> <p>BigQuery charges for other operations, including using <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#bqomni" track-type="inline link">BigQuery Omni</a>, <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#bqml" track-type="inline link">BigQuery ML</a>, <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#bi_engine_pricing" track-type="inline link">BI Engine</a>, and streaming <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#data_extraction_pricing" track-type="inline link">reads</a> and <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#data_ingestion_pricing" track-type="inline link">writes</a>.</p> <p>In addition, BigQuery has <a href="#free" track-type="inline link">free operations</a> and a <a href="#free-tier" track-type="inline link">free usage tier</a>.</p> <p>Every project that you create has a billing account attached to it. Any charges incurred by BigQuery jobs run in the project are billed to the attached billing account. BigQuery storage charges are also billed to the attached billing account. You can view BigQuery costs and trends by using the Cloud Billing reports page in the Google Cloud console.</p> <aside class="key-point"><strong>Key Point:</strong><span> Pricing models apply to accounts, not individual projects, unless otherwise specified.</span></aside> <p id="analysis_pricing_models"><strong>Compute (analysis) pricing models</strong></p> <p>BigQuery offers a choice of two compute pricing models for running queries:</p> <ul> <li><p><a href="#on_demand_pricing" track-type="inline link"><strong>On-demand pricing</strong></a> (per TB). With this pricing model, you are charged for the number of bytes processed by each query. The first 1 TB of query data processed per month is free.</p></li> <li><p><a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#capacity_compute_analysis_pricing" track-type="inline link"><strong>Capacity pricing</strong></a> (per slot-hour). With this pricing model, you are charged for compute capacity used to run queries, measured in slots (virtual CPUs) over time. This model takes advantage of <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/editions-intro" track-type="inline link">BigQuery editions</a>. You can leverage the BigQuery autoscaler or purchase slot commitments, which are dedicated capacity that is always available for your workloads, at a lower price.</p></li> </ul> <p>For more information about which pricing to choose for your workloads, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-workload-management" track-type="inline link">Workload management using Reservations</a>.</p> <h2 id="on_demand_pricing" class="cloud-jump-section cloud-headline2" data-text="On-demand compute (analysis) pricing">On-demand compute (analysis) pricing</h2> <p>By default, queries are billed using the on-demand (per TB) pricing model, where you pay for the data scanned by your queries.</p> <p>With on-demand pricing, you will generally have access to up to 2,000 concurrent slots, shared among all queries in a single project. Periodically, BigQuery will temporarily burst beyond this limit to accelerate smaller queries. In addition, you might occasionally have fewer slots available if there is a high amount of contention for on-demand capacity in a specific location.</p> <p>On-demand (per TB) query pricing is as follows:</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Operation', 'Pricing', 'Details']}, {'cells': ['Queries (on-demand)', {'priceByRegion': {'asiasouth2': '7.50', 'useast1aws': 9.775, 'useast2azu': 11.4125, 'apnortheast2aws': 12.5}, 'taxonomy': 'gcp.analytics.gbq.analysis.on_demand.analysis', 'tierIndex': 1, 'decimalPlaces': 2, 'format': '%{price}% per TB'}, 'The first 1 TB per month is free.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="asiasouth2"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="on-demand-pricing-details" class="hide-from-toc" data-text="Pricing details">Pricing details</h3> <p>Note the following regarding on-demand (per TB) query charges:</p> <ul> <li>BigQuery uses a <a class="external" href="http://web.archive.org/web/20230727031505/https://en.wikipedia.org/wiki/Column-oriented_DBMS" track-type="inline link">columnar data structure</a>. You're charged according to the total data processed in the columns you select, and the total data per column is calculated based on the types of data in the column. For more information about how your data size is calculated, see <a href="#data" track-type="inline link">Data size calculation</a>.</li> <li>You aren't charged for queries that return an error or for queries that retrieve <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/cached-results" track-type="inline link">results from the cache</a>. For <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/procedural-language" track-type="inline link"> procedural language jobs</a> this consideration is provided at a per-statement level.</li> <li>Charges are rounded up to the nearest MB, with a minimum 10 MB data processed per table referenced by the query, and with a minimum 10 MB data processed per query.</li> <li>Canceling a running query job might incur charges up to the full cost for the query if you let the query run to completion.</li> <li>When you run a query, you're charged according to the data processed in the columns you select, even if you set an explicit <code translate="no" dir="ltr">LIMIT</code> on the results.</li> <li><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/partitioned-tables" track-type="inline link">Partitioning</a> and <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/clustered-tables" track-type="inline link">clustering</a> your tables can help reduce the amount of data processed by queries. As a best practice, use partitioning and clustering whenever possible.</li> <li>On-demand (per TB) pricing is referred to as analysis pricing on the <a href="/web/20230727031505/https://cloud.google.com/skus/?filter=bigquery" track-type="inline link">Google Cloud SKUs</a> page.</li> <li>When you run a query against a clustered table, and the query includes a filter on the clustered columns, BigQuery uses the filter expression to prune the blocks scanned by the query. This can reduce the number of scanned bytes.</li> <li>When querying an external data source from BigQuery, you are charged for the number of bytes read by the query. If the external data is stored in another Google Cloud product such as Cloud Storage, any storage costs for that product apply as well. For more information, see <a href="http://web.archive.org/web/20230727031505/https://cloud.google.com/pricing" track-type="inline link">Google Cloud pricing</a>.</li> </ul> <p>BigQuery provides cost control mechanisms that enable you to cap your query costs. You can set:</p> <ul> <li>User-level and project-level <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/custom-quotas" track-type="inline link">custom cost controls</a> </li> <li>The <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/best-practices-costs#limit_query_costs_by_restricting_the_number_of_bytes_billed" track-type="inline link">maximum bytes billed</a> by a query</li> </ul> <p>For detailed examples of how to calculate the number of bytes processed, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/estimate-costs#query_size_calculation" track-type="inline link">Query size calculation</a>.</p> <h2 id="capacity_compute_analysis_pricing_2" class="cloud-jump-section cloud-headline2" data-text="Capacity compute (analysis) pricing">Capacity compute (analysis) pricing</h2> <p>BigQuery offers a capacity-based analysis pricing model for customers who prefer a predictable cost for queries rather than paying the on-demand price per TB of data processed.</p> <p>To enable capacity pricing, use <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro" track-type="inline link">BigQuery Reservations</a>.</p> <h3 id="flat-rate_compute_analysis_pricing" data-text="Flat-rate compute (analysis) pricing">Flat-rate compute (analysis) pricing</h3> <p>When you use the flat-rate compute pricing model, you purchase dedicated query processing capacity, measured in BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/slots">slots</a>. Your queries consume this capacity, and you are not billed for bytes processed. If your capacity demands exceed your committed capacity, BigQuery will queue up slots, and you will not be charged additional fees.</p> <p>Flat-rate pricing:</p> <ul> <li>Applies to query costs, including BigQuery ML, DML, and DDL statements.</li> <li>Does not apply to <a href="#storage" track-type="inline link">storage costs</a> or BI Engine costs.</li> <li>Does not apply to streaming inserts and using the BigQuery Storage API.</li> <li>Is purchased as a regional resource. Slot <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro#commitments" track-type="inline link">commitments</a> purchased in one region or multi-region cannot be used in another region or multi-region and cannot be moved.</li> <li>Allows customers to raise per-project concurrency quotas by contacting <a href="/web/20230727031505/https://cloud.google.com/support" track-type="inline link">Google Cloud Support</a>.</li> <li>Is available in per-second, monthly, and annual commitments.</li> <li>Can be shared across your entire organization. There is no need to buy slot <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro#commitments" track-type="inline link">commitments</a> for every project.</li> <li>Has a 100-slot minimum and is purchased in increments of 100 slots.</li> <li>Is billed per second until you cancel the commitment, which can be done at any time after the commitment end date.</li> </ul> <h4 id="monthly-flat-rate" data-text="Monthly flat-rate commitments">Monthly flat-rate commitments</h4> <p>The following table shows the cost of your monthly slot commitment. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-details#monthly_commitments" track-type="inline link">Monthly commitments</a>.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Monthly cost', 'Number of slots']}, {'cells': [{'priceByRegion': {'us': 20, 'eu': 20, 'useast1aws': 25, 'useast2azu': 29.2, 'apnortheast2aws': 30}, 'taxonomy': 'gcp.analytics.gbq.bigQuery_reservation_api.flat_rate.flatRateAnalysisMonthly', 'format': '%{price * 100}%'}, '100']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h4 id="annual-flat-rate" data-text="Annual flat-rate commitments">Annual flat-rate commitments</h4> <p>The following table shows the cost of your annual slot commitment. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-details#annual_commitments" track-type="inline link">Annual commitments</a>.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Monthly cost', 'Number of slots']}, {'cells': [{'priceByRegion': {'us': 17, 'eu': 17, 'useast1aws': 21.25, 'useast2azu': 24.82, 'apnortheast2aws': 25.5}, 'taxonomy': 'gcp.analytics.gbq.bigquery_reservation_api.flat_rate.flatrateanalysisannual', 'format': '%{price * 100}%'}, '100']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h4 id="flex-slots-pricing" data-text="Flex slots: short-term commitments">Flex slots: short-term commitments</h4> <p>Flex slots are a special commitment type:</p> <ul> <li>Commitment duration is only 60 seconds.</li> <li>You can cancel Flex slots any time thereafter.</li> <li>You are charged only for the seconds your commitment was deployed.</li> </ul> <p>Flex slots are subject to capacity availability. When you attempt to purchase Flex Slots, success of this purchase is not guaranteed. However, once your commitment purchase is successful, your capacity is guaranteed until you cancel it. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-details#flex_slots" track-type="inline link">Flex slots</a>.</p> <p>The following table shows the cost of your Flex slot commitment.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Hourly cost', 'Number of slots', 'Monthly<sup>1</sup>']}, {'cells': [{'priceByRegion': {'us': 0.04, 'eu': 0.04, 'asiasouth2': 0.048, 'useast1aws': 0.05, 'useast2azu': 0.058, 'apnortheast2aws': 0.06}, 'taxonomy': 'gcp.analytics.gbq.bigquery_reservation_api.flat_rate_flex.flatrateanalysisflexhourly', 'format': '%{price * 100}%'}, '100', {'priceByRegion': {'us': 0.04, 'eu': 0.04, 'asiasouth2': 0.048, 'useast1aws': 0.05, 'useast2azu': 0.058, 'apnortheast2aws': 0.06}, 'taxonomy': 'gcp.analytics.gbq.bigquery_reservation_api.flat_rate_flex.flatrateanalysisflexhourly', 'format': '%{price * 24 * 30.4167 * 100}%'}]}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <h2 id="pricing" data-text="BigQuery Omni pricing">BigQuery Omni pricing</h2> <h4 id="with_flat-rate_pricing" data-text="BigQuery Omni with flat-rate pricing">BigQuery Omni with flat-rate pricing</h4> <p>BigQuery Omni also offers flat-rate pricing which provides a predictable cost for queries. To enable flat-rate pricing, use BigQuery Reservations.</p> <p>When you enroll in flat-rate pricing for BigQuery Omni, you purchase dedicated query processing capacity, measured in slots, on Amazon Web Services or Microsoft Azure. Your queries consume this capacity, and you are not billed for bytes processed.</p> <p>Flat-rate pricing:</p> <ul> <li>Applies to query costs. Does not apply to <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#storage" track-type="inline link">storage costs</a>.</li> <li>Slot <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro#commitments" track-type="inline link">commitments</a> are purchased for a single multi-cloud region. Slots purchased in one region cannot be used in another region.</li> <li>Is available in monthly, and annual commitments. Is billed per second until you cancel the commitment, which can be done at any time after the commitment end date.</li> <li>Can be shared across your entire organization. There is no need to buy slot <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-intro#commitments" track-type="inline link">commitments</a> for every project.</li> <li>Has a 100-slot minimum and is purchased in increments of 100 slots.</li> </ul> <p>BigQuery Omni On-demand (per TB) query pricing is as follows:</p> <p><table> <thead> <tr> <th>Region</th> <th>Price per TB</th> </tr> </thead> <tbody> <tr> <td>AWS North Virginia (aws-us-east-1)</td> <td>$7.82</td> </tr> <tr> <td>Azure North Virginia (azure-eastus2)</td> <td>$9.13</td> </tr> <tr> <td>AWS Seoul (aws-ap-northeast-2)</td> <td>$10.00</td> </tr> </tbody> </table></p> <p><small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <p><strong>Pricing details</strong></p> <p>The details and limitations are similar to BigQuery analysis pricing. Note the following regarding on-demand (per TB) query charges:</p> <ul> <li>BigQuery uses a <a href="http://web.archive.org/web/20230727031505/https://en.wikipedia.org/wiki/Column-oriented_DBMS" track-type="inline link">columnar data structure.</a> You're charged according to the total data processed in the columns you select, and the total data per column is calculated based on the types of data in the column. For more information about how your data size is calculated, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#data" track-type="inline link">Data size calculation.</a></li> <li>You aren't charged for queries that return an error or for queries that retrieve <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/cached-results" track-type="inline link">results from the cache.</a> For <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/procedural-language" track-type="inline link">procedural language jobs</a> this consideration is provided at a per-statement level.</li> <li>Charges are rounded up to the nearest MB, with a minimum 10 MB data processed per table referenced by the query, and with a minimum 10 MB data processed per query.</li> <li>Canceling a running query job might incur charges up to the full cost for the query if you let the query run to completion.</li> <li>When you run a query, you're charged according to the data processed in the columns you select, even if you set an explicit <span style="color:green">LIMIT</span> on the results.</li> <li><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/partitioned-tables" track-type="inline link">Partitioning</a> and <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/clustered-tables" track-type="inline link">clustering</a> your tables can help reduce the amount of data processed by queries. As a best practice, use partitioning and clustering whenever possible.</li> <li>On-demand (per TB) pricing is referred to as analysis pricing on the <a href="/web/20230727031505/https://cloud.google.com/skus/?filter=bigquery" track-type="inline link">Google Cloud SKUs</a> page.</li> <li>When you run a query against a clustered table, and the query includes a filter on the clustered columns, BigQuery uses the filter expression to prune the blocks scanned by the query. This can reduce the number of scanned bytes.</li> </ul> <p>BigQuery provides cost control mechanisms that enable you to cap your query costs. You can set:</p> <ul> <li>User-level and project-level <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/custom-quotas" track-type="inline link">custom cost controls.</a></li> <li>The <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/best-practices-costs#limit_query_costs_by_restricting_the_number_of_bytes_billed" track-type="inline link">maximum bytes billed</a> by a query</li> </ul> <h3 id="monthly_flat-rate_commitments_2" data-text="Monthly flat-rate commitments">Monthly flat-rate commitments</h3> <p>The following table shows the cost of your monthly slot commitment. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-details#monthly_commitments" track-type="inline link">Monthly commitments</a>.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Monthly cost', 'Number of slots']}, {'cells': [{'priceByRegion': {'useast1aws': '2,500', 'useast2azu': '2,920'}}, '100']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <h3 id="annual_flat-rate_commitments_2" data-text="Annual flat-rate commitments">Annual flat-rate commitments</h3> <p>The following table shows the cost of your annual slot commitment. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-details#annual_commitments" track-type="inline link">Annual commitments</a>.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Monthly cost', 'Number of slots']}, {'cells': [{'priceByRegion': {'useast1aws': '2,125', 'useast2azu': '2,482'}}, '100']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <h3 id="flex_slots_short-term_commitments_2" data-text="Flex slots: short-term commitments">Flex slots: short-term commitments</h3> <p>Flex slots are a special commitment type:</p> <ul> <li>Commitment duration is only 60 seconds.</li> <li>You can cancel Flex slots any time thereafter.</li> <li>You are charged only for the seconds your commitment was deployed.</li> </ul> <p>Flex slots on BigQuery Omni are subject to capacity availability on AWS or Azure. When you attempt to purchase Flex Slots, success of this purchase is not guaranteed. However, once your commitment purchase is successful, your capacity is guaranteed until you cancel it. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reservations-details#flex_slots" track-type="inline link">Flex slots</a>.</p> <p>The following table shows the cost of your Flex slot commitment.</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Hourly cost', 'Number of slots', 'Monthly<sup>1</sup>']}, {'cells': [{'priceByRegion': {'useast1aws': '5.00', 'useast2azu': '5.80'}}, '100', {'priceByRegion': {'useast1aws': '3,650', 'useast2azu': '4,234'}}]}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12"> </cloudx-pricing-table> <h2 id="bi_engine_pricing" class="cloud-jump-section cloud-headline2" data-text="BI Engine pricing">BI Engine pricing</h2> <p><a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/bi-engine-intro" track-type="inline link">BI Engine</a> accelerates SQL queries by caching BigQuery data in memory. The amount of data stored is constrained by the amount of capacity you purchase. To purchase BI Engine capacity, create a BI Engine reservation in the project where queries will be run.</p> <p>When BI Engine accelerates a query, the query stage that reads table data is free. Subsequent stages depend on the type of BigQuery pricing you’re using:</p> <ul> <li><p>For <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#on_demand_pricing" track-type="inline link">on-demand pricing</a>, stages that use BI Engine are charged for 0 scanned bytes. Subsequent stages will not incur additional on-demand charges.</p></li> <li><p>For <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#flat_rate_pricing" track-type="inline link">flat-rate pricing</a>, the first stage consumes no BigQuery reservation slots. Subsequent stages use slots from the BigQuery reservation.</p></li> </ul> <p>BI Engine pricing is as follows:</p> <cloudx-pricing-table layout="{'rows': [{'header': True, 'cells': ['Resource', 'Pricing', 'Details']}, {'cells': ['Memory capacity', {'taxonomy': 'gcp.analytics.gbq.bigQuery_bI_engine.flat_rate.bigQueryBIEngineFlatRateHourly', 'decimalPlaces': 4, 'format': '%{price}% per GiB per %{rate}%'}, 'You are charged per GiB/hour for each project in which you have <a hrf=`/bigquery/docs/bi-engine-reserve-capacity`>reserved capacity</a>.']}]}" hiderate="true" suppressregions="useast5,ussouth1,mewest1,mecentral1,europewest12" surfaceregions="useast5,ussouth1"> </cloudx-pricing-table> <small> If you pay in a currency other than USD, the prices listed in your currency on <a class="cloud-link" href="http://web.archive.org/web/20230727031505/https://cloud.google.com/skus/" track-type="inline link">Cloud Platform SKUs</a> apply. </small></p> <h3 id="editions_analysis_bundle" data-text="Flat-rate analysis bundle">Flat-rate analysis bundle</h3> <p>When you are using BigQuery <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#capacity_compute_analysis_pricing">capacity compute pricing</a> with BigQuery editions commitments or legacy slot commitments, you are eligible to receive a limited amount of BI Engine capacity as part of your flat-rate price, at no extra cost, as shown in the following chart. To receive BI Engine capacity at no additional cost, follow the instructions to <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/bi-engine-reserve-capacity">reserve capacity</a> in a project within the same organization as your flat-rate reservation or editions reservation. To ensure a particular project’s BI Engine reservation is discounted toward this bundled capacity, there should be some slots assigned to the project. BI Engine reservation in an ‘on-demand analysis’ project will not be counted towards the free capacity. Free capacity is shown in your Billing Reports as a normal cost, but it is discounted as a "Spending-Based Discount".</p> <table> <thead> <tr> <th>Number of slots purchased</th> <th>No-cost, additional BI Engine capacity (GiB)</th> </tr> </thead> <tbody> <tr> <td>100</td> <td>5</td> </tr> <tr> <td>500</td> <td>25</td> </tr> <tr> <td>1000</td> <td>50</td> </tr> <tr> <td>1500</td> <td>75</td> </tr> <tr> <td>2000</td> <td>100 (maximum per organization)</td> </tr> </tbody> </table> <h2 id="free" class="cloud-jump-section cloud-headline2" data-text="Free operations">Free operations</h2> <p>The following BigQuery operations are free of charge in every location. <a href="/web/20230727031505/https://cloud.google.com/bigquery/quotas" track-type="inline link">Quotas and limits</a> apply to these operations.</p> <table> <tr> <th>Operation</th> <th>Details</th> </tr> <tr> <td>Load data</td> <td>Free using the shared slot pool. Customers can choose <a href="#flat_rate_pricing" track-type="inline link">flat-rate pricing</a> for guaranteed capacity. Once the data is loaded into BigQuery, you are charged for storage. For details, see <a href="#data_ingestion_pricing" track-type="inline link">Data ingestion pricing</a>. </td> </tr> <tr> <td>Copy data</td> <td>You are not charged for copying a table, but you do incur charges for storing the new table and the table you copied. For more information, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/managing-tables#copy-table" track-type="inline link">Copying an existing table</a>.</td> </tr> <tr> <td>Export data</td> <td>Free using the shared slot pool, but you do incur charges for storing the data in Cloud Storage. Customers can choose <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#flat_rate_pricing" track-type="inline link">flat-rate pricing</a> for guaranteed capacity. When you use the <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/reference/standard-sql/other-statements#export_data_statement" track-type="inline link">EXPORT DATA SQL statement</a>, you are charged for query processing. For details, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/pricing#exporting_data" track-type="inline link">Exporting data</a>.</td> </tr> <tr> <td>Delete operations</td> <td>You are not charged for deleting datasets or tables, deleting individual table partitions, deleting views, or deleting user-defined functions</td> </tr> <tr> <td>Metadata operations</td> <td>You are not charged for list, get, patch, update and delete calls. Examples include (but are not limited to): listing datasets, updating a dataset's access control list, updating a table's description, or listing user-defined functions in a dataset.</td> </tr> </table> <h2 id="free-tier" class="cloud-jump-section cloud-headline2" data-text="Free usage tier">Free usage tier</h2> <p>As part of the <a href="/web/20230727031505/https://cloud.google.com/free" track-type="inline link">Google Cloud Free Tier</a>, BigQuery offers some resources free of charge up to a specific limit. These free usage limits are available during and after the free trial period. If you go over these usage limits and are no longer in the free trial period, you will be charged according to the pricing on this page. You can try BigQuery's free tier in the <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/sandbox" track-type="inline link">BigQuery sandbox</a> without a credit card.</p> <table> <thead> <tr> <th>Resource</th> <th>Monthly free usage limits</th> <th>Details</th> </tr> </thead> <tbody> <tr> <td>Storage</td> <td>The first 10 GiB per month is free.</td> <td>BigQuery ML models and training data stored in BigQuery are included in the BigQuery storage free tier.</td> </tr> <tr> <td>Queries (analysis)</td> <td>The first 1 TB of query data processed per month is free.</td> <td><p>Queries that use BigQuery ML prediction, inspection, and evaluation functions are included in the BigQuery analysis free tier. BigQuery ML queries that contain <code translate="no" dir="ltr">CREATE MODEL</code> statements are not.</p> <p>BigQuery <a href="#flat_rate_pricing" track-type="inline link">flat-rate pricing</a> is also available for high-volume customers that prefer a stable, monthly cost.</p></td> </tr> <tr> <td>BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> queries</td> <td>The first 10 GiB of data processed by queries that contain <code translate="no" dir="ltr">CREATE MODEL</code> statements per month is free.</td> <td>BigQuery ML <code translate="no" dir="ltr">CREATE MODEL</code> queries are independent of the BigQuery analysis free tier, and only apply to BigQuery ML built-in models (models that are trained within BigQuery).</td> </tr> <tr> <td>BI Engine</td> <td>Up to 1 GiB of free capacity for Looker Studio users.</td> <td>This free capacity is available to all Looker Studio users, without needing a reservation.</td> </tr> </tbody> </table> <h2 id="whats_next" class="cloud-jump-section cloud-headline2" data-text="What's next">What's next</h2> <ul> <li><p>For information on analyzing billing data using reports, see <a href="/web/20230727031505/https://cloud.google.com/billing/docs/how-to/reports" track-type="inline link">View your billing reports and cost trends</a>.</p></li> <li><p>For information on analyzing your billing data in BigQuery, see <a href="/web/20230727031505/https://cloud.google.com/billing/docs/how-to/export-data-bigquery" track-type="inline link">Export Cloud Billing data to BigQuery</a>.</p></li> <li><p>For information about estimating costs, see <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/estimate-costs" track-type="inline link">Estimating storage and query costs</a>.</p></li> <li><p>Read the <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs" track-type="inline link">BigQuery documentation</a>.</p></li> <li><p>Get started with <a href="/web/20230727031505/https://cloud.google.com/bigquery/docs/quickstarts" track-type="inline link">BigQuery</a>.</p></li> <li><p>Try the <a href="/web/20230727031505/https://cloud.google.com/products/calculator" track-type="inline link">Pricing calculator</a>.</p></li> <li><p>Learn about <a href="/web/20230727031505/https://cloud.google.com/architecture?text=BigQuery" track-type="inline link">BigQuery solutions and use cases</a>.</p></li> </ul> <div class="cws-grid cws-spacer-5--top cloud-background-color-grey-50 contact-sales_module"> <div class="cws-grid__col--offset-1 cws-grid__col--span-10 cws-spacer-5--top cws-spacer-5--bottom text-center"> <div class="cws-spacer-3--bottom"> <h4 class="cws-headline--headline-4" id="request-a-custom-quote" data-text="Request a custom quote">Request a custom quote</h4> </div> <div class="cws-spacer-4--bottom"> With Google Cloud's pay-as-you-go pricing, you only pay for the services you use. 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