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5.264-.478 7-1.4V22c0 .58-2.453 2-7 2zm0-4c-4.547 0-7-1.42-7-2v-1.4c1.736.922 4.374 1.4 7 1.4 2.626 0 5.264-.478 7-1.4V18c0 .58-2.453 2-7 2z"></path></g></g></svg></div><div class="link-wrap--mobile"><div class="link link--mobile">Data Enrichment</div><div class="link__underline link__underline--mobile"></div></div></a><a href="https://carto.com/gen-ai" class="navbar-dropdown__link--mobile w-inline-block"><div class="icon-embed w-embed"><svg width="40" height="40" viewBox="0 0 40 40" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><defs><circle id="a" cx="20" cy="20" r="20"></circle></defs><g fill="none" fill-rule="evenodd"><mask id="b" fill="#fff"><use xlink:href="#a"></use></mask><use fill-opacity=".2" fill="#F2F6F9" xlink:href="#a"></use><g mask="url(#b)" fill="#FFF"><path d="m27.3,17.34l-1.46-3.17-3.17-1.43,3.17-1.46,1.46-3.17,1.43,3.17,3.17,1.46-3.17,1.43-1.43,3.17Zm0,14.57l-1.43-3.2-3.2-1.43,3.2-1.43,1.43-3.2,1.43,3.2,3.2,1.43-3.2,1.43-1.43,3.2Zm-10.59-3.31l-2.68-5.93-5.93-2.68,5.93-2.68,2.68-5.93,2.68,5.93,5.93,2.68-5.93,2.68-2.68,5.93Zm0-4.8l1.19-2.62,2.62-1.19-2.62-1.19-1.19-2.62-1.19,2.62-2.62,1.19,2.62,1.19,1.19,2.62Z"></path></g></g></svg></div><div class="link-wrap--mobile"><div class="link link--mobile">Gen AI</div><div class="link__underline link__underline--mobile"></div></div></a><a href="https://carto.com/enterprise" class="navbar-dropdown__link--mobile w-inline-block"><div class="icon-embed w-embed"><svg width="40" height="40" viewBox="0 0 40 40" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><defs><circle id="a" cx="20" cy="20" r="20"></circle></defs><g fill="none" fill-rule="evenodd"><mask id="b" fill="#fff"><use xlink:href="#a"></use></mask><use fill-opacity=".2" fill="#F2F6F9" xlink:href="#a"></use><g 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25.7356433,1.34698743 C25.1669153,1.34698743 24.7179195,1.43678659 24.4086113,1.6263626 C24.0993031,1.81593861 23.9396601,2.10529147 23.9396601,2.51437654 C23.9396601,2.79375171 24.039437,3.03321614 24.2389906,3.22279215 C24.4385443,3.41236816 24.8077187,3.60194417 25.336536,3.77156481 L26.7533672,4.22056062 C27.4717605,4.45004737 27.9906001,4.76933328 28.2999083,5.17841835 C28.6092165,5.58750342 28.7588818,6.0564546 28.7588818,6.5752942 C28.7588818,7.00433464 28.6690826,7.39346435 28.499462,7.73270563 C28.3198637,8.0719469 28.0803992,8.37127745 27.771091,8.61074188 C27.4617828,8.86018399 27.0926085,9.03978232 26.663568,9.16949222 C26.2145722,9.30917981 25.745621,9.3790236 25.2367591,9.3790236 Z" id="Shape" fill="#FFFFFF"></path><g id="Group" transform="translate(0.000000, 11.184211)" fill="#FFFFFF"><path d="M27.1225415,3.04396746 C23.8398833,5.46854484 19.07055,6.75566616 14.9697216,6.75566616 C9.2225752,6.75566616 4.04415686,4.63041933 0.132904461,1.09831895 C-0.176403764,0.818943781 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src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/63fe2e386888335276a1763b_Microsoft_Azure.svg.png" loading="lazy" sizes="100vw" srcset="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/63fe2e386888335276a1763b_Microsoft_Azure.svg-p-500.png 500w, https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/63fe2e386888335276a1763b_Microsoft_Azure.svg-p-800.png 800w, https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/63fe2e386888335276a1763b_Microsoft_Azure.svg-p-1080.png 1080w, https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/63fe2e386888335276a1763b_Microsoft_Azure.svg-p-1600.png 1600w, https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/63fe2e386888335276a1763b_Microsoft_Azure.svg.png 1920w" alt="" class="icon-embed-2"/><div class="link-wrap"><div class="link">Azure</div><div class="link__underline"></div></div></a></div><div class="col-1--company"><a href="https://carto.com/snowflake/spatial-extension/" 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class="post__author post__author--main">Javier de la Torre</a><div class="dot-separator">·</div><div class="post__date post__date--main">Sep 21, 2023</div></div></div><div class="author__header post__author--condition w-condition-invisible"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df446cdf4db65ed19bf37_javier-de-la-torre.jpg" loading="lazy" alt="Javier de la Torre" class="post__avatar"/><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df43642ffe801826b72d7_javier-perez-trufero.jpg" loading="lazy" alt="Javier Pérez Trufero" class="post__avatar"/></div><div class="authors__links"><a href="/authors/javier-de-la-torre" class="post__author post__author--main">Javier de la Torre</a><div class="author__and author__and--main">and</div><a href="/authors/javier-perez-trufero" class="post__author post__author--main">Javier Pérez Trufero</a><div class="post__author post__author--main w-condition-invisible">CARTO Contributor</div><div class="dot-separator dot-separator--main">·</div><div class="post__date post__date--main">Sep 21, 2023</div></div></div><div class="author__header post__author--condition"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df446cdf4db65ed19bf37_javier-de-la-torre.jpg" loading="lazy" alt="Javier de la Torre" class="post__avatar"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df43642ffe801826b72d7_javier-perez-trufero.jpg" loading="lazy" alt="Javier Pérez Trufero" class="post__avatar"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/6509a5e06b78d7de6715db6c_carto_ernesto.jpeg" loading="lazy" alt="Ernesto Martínez Becerra" sizes="100vw" srcset="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/6509a5e06b78d7de6715db6c_carto_ernesto-p-500.jpeg 500w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/6509a5e06b78d7de6715db6c_carto_ernesto.jpeg 512w" class="post__avatar"/></div><div class="authors__links"><a href="/authors/javier-de-la-torre" class="post__author post__author--main">Javier de la Torre</a><div class="author__comma author__comma--main">,</div><a href="/authors/javier-perez-trufero" class="post__author post__author--main">Javier Pérez Trufero</a><div class="author__and author__and--main">and</div><a href="/authors/ernesto-martinez-becerra" class="post__author post__author--main">Ernesto Martínez Becerra</a><div class="dot-separator">·</div><div class="post__date post__date--main">Sep 21, 2023</div></div></div></div><div class="post__link--heading post__link--heading-main"><h1 class="heading--1">Dynamic Tiling: The key to highly performant cloud-native maps</h1></div><div class="blog-post__info"><div class="blog-post__info--item"><a href="/categories/core-tech" class="post__link--category blog-post__link--category w-inline-block"><div class="text-block-3">Core Tech</div></a></div><div class="blog-post__info--item"><div class="blog-post__time"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/6364faaf4443c45a2771c43d_clock.svg" loading="lazy" alt="" class="time-icon"/><div class="w-dyn-list"><div role="list" class="w-dyn-items"><div role="listitem" class="time-read__item w-dyn-item"><div id="reading-time" class="time-read">4</div><div class="time-read--text">mins read</div></div></div></div></div></div><div class="blog-post__info--item last-item"><div class="blog-post__share"><a href="#" class="blog-post__share--link w-inline-block"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/6364fbc48ae88d49a31107ec_share.svg" loading="lazy" alt="" class="share-icon"/><div>Share</div></a><div class="blog__share--wrapper"><div class="blog__share--block"><a fs-socialshare-element="facebook" href="https://www.facebook.com/CartoDB" target="_blank" class="social-link facebook w-inline-block"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/6369504e280a6605e5325e9e_facebook.svg" loading="lazy" alt="Facebook icon" class="blog__share--social-icon"/><div title="Facebook" class="blog__share--social-link"><div>Facebook</div></div></a><a fs-socialshare-element="twitter" href="https://twitter.com/CARTO" target="_blank" class="social-link twitter w-inline-block"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/6369504edb07d45c6aa54f56_twitter.svg" loading="lazy" alt="Twitter icon" class="blog__share--social-icon"/><div title="Twitter" class="blog__share--social-link"><div>Twitter</div></div></a><a fs-socialshare-element="linkedIn" href="https://www.linkedin.com/company/carto" target="_blank" class="social-link linkedin w-inline-block"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/6369504eb4df2a36e60a1973_linkedin.svg" loading="lazy" alt="Linkedin icon" class="blog__share--social-icon"/><div title="Linkedin" class="blog__share--social-link"><div>LinkedIn</div></div></a><div class="blog__share--arrow"></div></div></div></div></div></div></header><div class="summary__content hide"><p class="post__summary">Summary</p><p class="post__intro">Elevate cloud-native mapping of big data with CARTO's Dynamic Tiling. Seamlessly integrate interactive maps in your apps without compromising speed. </p></div><div class="warning w-embed w-script"><div class="baner-alert hide"> <svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M9 13H11V15H9V13ZM9 5H11V11H9V5ZM10 0C4.47 0 0 4.5 0 10C0 12.6522 1.05357 15.1957 2.92893 17.0711C3.85752 17.9997 4.95991 18.7362 6.17317 19.2388C7.38642 19.7413 8.68678 20 10 20C12.6522 20 15.1957 18.9464 17.0711 17.0711C18.9464 15.1957 20 12.6522 20 10C20 8.68678 19.7413 7.38642 19.2388 6.17317C18.7362 4.95991 17.9997 3.85752 17.0711 2.92893C16.1425 2.00035 15.0401 1.26375 13.8268 0.761205C12.6136 0.258658 11.3132 0 10 0ZM10 18C7.87827 18 5.84344 17.1571 4.34315 15.6569C2.84285 14.1566 2 12.1217 2 10C2 7.87827 2.84285 5.84344 4.34315 4.34315C5.84344 2.84285 7.87827 2 10 2C12.1217 2 14.1566 2.84285 15.6569 4.34315C17.1571 5.84344 18 7.87827 18 10C18 12.1217 17.1571 14.1566 15.6569 15.6569C14.1566 17.1571 12.1217 18 10 18Z" fill="#eb1510" /> </svg> <div class="alert__text"> This post may describe functionality for an <a href="https://carto.com/login" target="_blank">old version </a> of CARTO. Find out about the latest and cloud-native version here. </div> </div> <script> const postDate = new Date('Sep 21, 2023') const topPostDate = new Date('2021-10-12'); const banner = document.querySelector('.baner-alert') if(postDate < topPostDate && false == false){ banner.classList.remove("hide") } </script></div><div class="main-image w-condition-invisible"><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/650c395d1cef439b1eea7fdb_Copy%20of%20Blog_asset_Dynamic%20tiling_1200x628.gif" loading="lazy" alt="Dynamic Tiling: The key to highly performant cloud-native maps" class="main-image__img"/></div><div class="rich-text-blog w-richtext"><p>Nowadays most enterprise organizations are building their data applications on top of a cloud-native technology stack (e.g. data warehouses, data lakes, etc.). For many of these apps, including interactive maps to visualize and analyze large amounts of geospatial data is a pivotal business requirement, but a complex challenge for the development team. </p><p>Rendering geospatial data on digital maps has been well-addressed for smaller datasets, with several technological solutions available, such as <a href="https://postgis.net/">PostGIS</a>. However, the challenge arises when dealing with extensive data volumes, as ensuring optimal map visualization performance can become increasingly complex. More so, if you need to dynamically visualize data directly from cloud data warehouse platforms, such as BigQuery, Snowflake, or Redshift, in a truly cloud-native architecture. The conventional approach of transferring and hosting data in intermediate mapping infrastructure introduces inefficiencies, additional costs, and overcomplicates data integrity and governance. </p><p>In this blogpost we will provide an overview on how CARTO has been working to overcome these technical challenges, and how we can enable you to seamlessly integrate interactive maps in your cloud-native applications, without compromising on performance or having to build complex ETLs.</p><div class="w-embed"><style> blockquote p { font-size: 1rem !important; font-weight: 600; text-indent: 0px; margin-top: 0.25rem; margin-left: 0px !important; } </style> <div> <blockquote> The conventional approach of transferring and hosting data in intermediate mapping infrastructure introduces inefficiencies, additional costs, and overcomplicates data integrity and governance. </blockquote> </div></div><div class="w-embed"><h2 style="font-family:montserrat">Tiling and mapping on the web</h2></div><p>In the GIS/mapping world, the solution to render data on digital maps is called <a href="https://forrest.nyc/a-brief-history-of-web-maps/">“Tiling”</a>. In Google Maps, as an example, data is sent to your browser/application and is loaded progressively based on your location and your current zoom level on the map. A couple of years ago, CARTO launched a set of tilers allowing users to produce what are called <a href="https://carto.com/blog/map-tiles-guide">“pre-generated tilesets”</a>, directly on top of cloud data warehouse platforms. As illustrated below, our technology allows users to generate vector tilesets for visualizing very large datasets natively in cloud data warehouses by executing simple SQL queries. You can find more about how to create pre-generated tilesets with CARTO in the documentation of our <a href="https://docs.carto.com/data-and-analysis/analytics-toolbox-overview">Analytics Toolbox</a> for <a href="https://docs.carto.com/data-and-analysis/analytics-toolbox-for-bigquery/key-concepts/tilesets">BigQuery</a>, <a href="https://docs.carto.com/data-and-analysis/analytics-toolbox-for-snowflake/key-concepts/tilesets">Snowflake</a>, <a href="https://docs.carto.com/data-and-analysis/analytics-toolbox-for-redshift/key-concepts/tilesets">Redshift</a>, and <a href="https://docs.carto.com/data-and-analysis/analytics-toolbox-for-postgresql/key-concepts/tilesets">PostgreSQL</a>.</p><div class="w-embed"><pre class="line-numbers"> <code class="language-sql"> CALL carto.CREATE_SIMPLE_TILESET( ‘SELECT geom, height, category FROM nycbuildingstable’, ‘MYDB.MYSCHEMA.nycbuildings_tileset’, ‘{ “geom_column”: “geom”, “zoom_min”: 0, “zoom_max”: 6, “properties”: { “height”: “Number”, “Category”: “String” } } ); </code> </pre></div><div class="w-embed w-iframe"><div class="Wrap blog-hidden-mobile"><iframe loading="lazy" width="100%" height="600" frameborder="0" src="https://clausa.app.carto.com/map/620c2d98-4000-4e23-bb21-a6b3f941ed55" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe></div></div><div class="w-embed"><div class="Wrap blog-mobile"> <a href="https://clausa.app.carto.com/map/620c2d98-4000-4e23-bb21-a6b3f941ed55"target="_blank"><img loading="lazy" width="100%" frameborder="0" src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/670fdb017554eace82891808_Vector%20tilesets%20for%20visualizing%20very%20large%20datasets.png"></a></div></div><p>Click <a href="https://clausa.app.carto.com/map/620c2d98-4000-4e23-bb21-a6b3f941ed55">here</a> to open the map in full screen!</p><p>Although crucial for visualizing vast amounts of spatial data, tilesets have some intrinsic limitations that make them unsuitable for all types of map visualization. A tileset is a pre-generated data structure, which means that you have to pre-compute the tilesets and then load them in your maps for visualizing the data. But, what if the underlying data changes? What if a filter or a user interaction in your application generates an entirely new map that you can not pre-generate? In many of these scenarios you cannot pre-generate tilesets for all of the data that you want to visualize on your map. To overcome this limitation, we have developed and implemented <strong>Dynamic Tiling</strong>.</p><div class="w-embed"><h2 style="font-family:montserrat">Introducing Dynamic Tiling for the modern data stack</h2></div><p>Currently, most enterprise organizations are in the process of migrating their data apps and geospatial solutions to run on cloud-based services, to benefit from the unrivaled scalability, flexibility and cost-efficiency gains. It is core to CARTO to provide these organizations with the most advanced cloud-native geospatial technology, and to make them successful in their stack modernization journey. To achieve that, it is fundamental to provide a technological solution to dynamically render large amounts of geospatial data on web maps and to allow users to interact with it without forcing them to move the data out of where it lives. For this reason, CARTO’s Dynamic Tiling implementation is unique in the sense that you do not need to ETL your data into any other mapping service so it can be then rendered on maps; our technology works natively with your data directly in your data warehouse, no intermediate databases or servers are required.</p><div class="w-embed"><style> blockquote p { font-size: 1rem !important; font-weight: 600; text-indent: 0px; margin-top: 0.25rem; margin-left: 0px !important; } </style> <div> <blockquote> CARTO’s Dynamic Tiling implementation is unique in the sense that you do not need to ETL your data into any other mapping service so it can be then rendered on maps; our technology works natively with your data directly in your data warehouse. </blockquote> </div></div><p>Dynamic tiling is a mechanism that progressively generates tiles on demand based on the SQL queries that users push down to their cloud data warehouse. This only retrieves the data needed to render the map; instead of instantiating the map with all the data from the source, independently of where the map is centered and its resolution level (i.e. what we call, document mode). Back in the day, CARTO added support for a similar type of dynamic tiling over PostGIS, and today we have extended this to make it available on top of all modern data stacks, including <a href="https://carto.com/bigquery/spatial-analytics">BigQuery</a>, <a href="https://carto.com/snowflake/spatial-analytics">Snowflake</a> and <a href="https://carto.com/redshift/spatial-analytics">Redshift</a>.</p><p>Access the ultimate guide to navigating the new geospatial landscape. Download the free <a href="https://go.carto.com/report-modernizing-the-geospatial-analysis-stack">report: Modernizing the Geospatial Analysis Stack</a> today.</p><figure class="w-richtext-align-center w-richtext-figure-type-image"><a href="https://go.carto.com/report-modernizing-the-geospatial-analysis-stack" target="_blank" class="w-inline-block"><div><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/670e7ba456f840554fe77a7e_65b91ecfbb5d95ca292eb512_Modernizing%2520the%2520Geospatial%2520Analysis%2520Stack%2520Report%2520-%2520Social%2520Assets_1500x520-min.png" loading="lazy" alt="Banner to download the Report: Modernizing the Geospatial Analysis Stack"/></div></a></figure><div class="w-embed"><h2 style="font-family:montserrat">How does Dynamic Tiling work?</h2></div><p>With CARTO, you don’t need to be a geospatial expert to develop a web application or build an interactive dashboard that analyzes data on a map. Creating a map leveraging CARTO’s technology and <a href="https://deck.gl/">deck.gl</a> is as simple as adding a ‘CartoLayer’ layer in your Deck class, as showcased in the snippet below. For more details on this, you can check this guide on <a href="https://docs.carto.com/carto-for-developers/guides/build-a-public-application">how to build a public application</a>.</p><div class="w-embed"><pre class="line-numbers"> <code class="language-javascript"> // This is how to add your SQL layer. "my_connection" is a live connection to BigQuery, Snowflake, Redshift, Databricks, PostgreSQL or the CARTO Data Warehouse, that you first created in the CARTO platform. deck.setProps({ layers: [ new CartoLayer({ id: 'layer', connection: 'my_connection', type: MAP_TYPES.QUERY, // this is telling CARTO to retrieve tiles dynamically starting with a SQL query data: 'SELECT * FROM my_dataset WHERE conditions', pointRadiusMinPixels: 3, getFillColor: [200, 0, 80], ... // the rest of your styling properties! }) ] }) </code> </pre></div><p>With this, the CARTO platform will then know how to retrieve the different tiles to render the data on the map based on the actions of the end-user, and with a mix of front-end back-end technology. </p><p>As illustrated in the diagram below, after the initial request, CARTO will first instantiate the map, obtain metadata about the data sources, and generate a vector tileset end-point. Then, when the map is loaded in the user’s web browser, tiles start to get requested on demand progressively. At that point, CARTO generates highly optimized SQL queries in order to retrieve data from the cloud data warehouse, and finally encode it in a format that is suitable for rendering by the GPU.</p><figure style="max-width:1600pxpx" class="w-richtext-align-fullwidth w-richtext-figure-type-image"><div><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/670fdcf2e09be4dfed610122_650c3364a3c93437ba4a7b54_dynamic%2520tiling.png" loading="lazy" alt=""/></div></figure><p>As you can see, there is a back and forth between the browser, CARTO and the cloud data warehouse. This is needed in order to obtain the effective amount of data for each tile. And in that last step, a lot of things happen: like using intersections, calculating the area of the features, aggregating where possible, simplifying geometries to the tile resolution, etc. All that is necessary to obtain a tile that is representative of the actual data, that is returned fast and that it does not cause an unnecessarily high compute cost using the data warehouse. And by the way, these steps are all very specific to each data warehouse, so CARTO has had to adapt the different techniques to run dynamic tiling on each of them.</p><div class="w-embed"><h2 style="font-family:montserrat">Optimized for high performance and large amounts of data</h2></div><p>As previously mentioned, one of the biggest challenges with Dynamic Tiling is the need to - on the fly - determine what features should be added to the map tile or dropped, without jeopardizing the purpose of the visualization and preserving a high quality user experience. Moreover, doing this in an agile, fast, and simple process that can be executed in a matter of milliseconds so users can have truly lag-free map experience. Another big challenge when implementing a Dynamic Tiling mechanism is making sure it does not overload the cloud data warehouse with too many requests, forcing users to have complex queuing systems and query cancellation policies. </p><p>CARTO’s implementation overcomes these challenges with different strategies that leverage the capabilities of each data warehouse by making use of the most adequate native functions available. Limiting the number of features that are included in the tiles is a crucial requirement to boost performance and to prevent processing, transferring and rendering more data than is actually necessary. For example, if you are rendering a map at a global view, it is not necessary to include a polygon that represents a 5-min walking area around a point in your tiles; a polygon is simply not visible at that scale. This is what we call <a href="https://docs.carto.com/carto-user-manual/maps/performance-considerations#feature-dropping">“feature dropping”</a>. </p><p>For large datasets of point data, we dynamically aggregate data into a Discrete Global Grid of varying resolutions depending on the zoom level; which lets us to keep the tile size under control in a predictable way and significantly reduces the amount of data that is sent to the map, maximizing query performance and rendering speed. Note that we aggregate the points in each tile only on the map visualization, decoupling from the KPIs represented in the interactive widgets and filters, so as to allow users to interact with the data without affecting its integrity. In the example below, we are rendering 11.3 million points (pick-up and drop-of locations of taxi rides in NYC) using dynamic tiling, with data sitting on a cloud data warehouse.</p><div class="w-embed w-iframe"><div class="Wrap blog-hidden-mobile"><iframe loading="lazy" width="100%" height="600" frameborder="0" src="https://clausa.app.carto.com/map/e2639c3f-b743-4d6c-9114-70f0c14cddae" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe></div></div><div class="w-embed"><div class="Wrap blog-mobile"> <a href="https://clausa.app.carto.com/map/e2639c3f-b743-4d6c-9114-70f0c14cddae"target="_blank"><img loading="lazy" width="100%" frameborder="0" src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/670fdb01805f117b2265bdbd_Map%20rendering%2011.3%20million%20points.png"></a></div></div><p>Click <a href="https://clausa.app.carto.com/map/e2639c3f-b743-4d6c-9114-70f0c14cddae">here</a> to open the map in full screen!</p><p>For datasets including polygons and lines, our Dynamic Tiling implementation follows a slightly more complex approach. Larger features are prioritized over smaller ones, as they are more visible at any zoom level. Therefore in order to ensure an optimal performance, we rank features based on size, and then we apply a level of simplification that is dependent on the zoom level; this process removes invisible details and reduces the size of the data significantly. We finally apply a limit that controls the number of features per tile that are transferred to the front-end for rendering. The following map is rendering a table with 49.5M polygons (OpenStreetMap building footprints) natively from a cloud data warehouse.</p><div class="w-embed w-iframe"><div class="Wrap blog-hidden-mobile"><iframe loading="lazy" width="100%" height="600" frameborder="0" src="https://clausa.app.carto.com/map/aea14364-5fc6-4d8e-8a3b-a7a0f56e3322" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe></div></div><div class="w-embed"><div class="Wrap blog-mobile"> <a href="https://clausa.app.carto.com/map/aea14364-5fc6-4d8e-8a3b-a7a0f56e3322"target="_blank"><img loading="lazy" width="100%" frameborder="0" src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/670fdb01e2ff49566862a5ce_Map%20rendering%20a%20table%20with%2049.5M%20polygons.png"></a></div></div><p>Click <a href="https://clausa.app.carto.com/map/aea14364-5fc6-4d8e-8a3b-a7a0f56e3322">here</a> to open the map in full screen!</p><p>Finally, providing a Content Delivery Network (CDN) ensures that the same data is not processed multiple times, reducing unnecessary computing load in the data warehouse while taking into consideration that the data may have been updated. CARTO handles this with different caching strategies depending on the nature of the data source. Data resulting from applying SQL queries to your data sources are considered point-in-time extractions and cached for a year. If a tile has already been requested, it won’t need to be processed again. Then, full tables are cached differently depending on the data warehouse platform they sit on, caching the data for a minimum amount of time and not re-processing the data unless the source table has been updated.</p><p>In the latest version of our platform, we made a revisited implementation of our Dynamic Tiling technology available in which we have made updates to all of these areas. These have resulted in much faster maps, more intelligent feature dropping that keeps the integrity of your data visualizations, and a more efficient use of data warehouse resources. </p><p>How far can it go? With the fast-paced evolutions of the cloud data warehouse platforms and CARTO, we can’t yet know the limits of this technology, but what we know for sure is that it can go very far, as you can see with this last example, <strong>visualizing 2.7 BILLION points with dynamic tiling!</strong></p><figure style="padding-bottom:50.70422535211267%" class="w-richtext-align-fullwidth w-richtext-figure-type-video"><div><iframe allowfullscreen="true" frameborder="0" scrolling="no" src="https://player.vimeo.com/video/866025382" title="Dynamic tiling 3B"></iframe></div></figure><div class="w-embed"><h2 style="font-family:montserrat">Try this yourself!</h2></div><p>Producing tiles dynamically on top of the modern data stack is a crucial component for developing cutting-edge geospatial applications. At CARTO, we have spent a lot of time optimizing this process for the different data warehouse platforms so you don’t need to worry about it, and you can focus on ensuring your users l have the best application in their hands to turn spatial data into truly actionable insights. </p><p>Would you like to try out these features for yourself? <a href="http://app.carto.com/signup">Sign up for our free 14 day trial </a>or <a href="https://carto.com/request-live-demo">book a demo</a> with one of our specialists.</p><div class="w-embed"><style> .banner__embed { margin: 0 -48px 32px; padding: 0; background-color: #162945; display: flex; } .btn--no-decoration { text-decoration: none !important; } .banner__embed--left { max-width: 40%; } .banner__embed--right { display: flex; flex-direction: column; justify-content: center; gap: 2rem; padding: 0 2rem; } .banner__embed--heading { color: white; text-align: center; font-weight: 600; font-family: 'Montserrat', sans-serif; font-size: 1.5rem; line-height: 2rem; } @media (max-width: 767px) { .banner__embed { justify-content: center; padding: 24px; } .banner__embed--left { display: none; } } </style> <div class="banner__embed "> <div class="banner__embed--left"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/639a055fce6891941ea22ee1_637baed3f6b5fa5cc3099cf8_cta-banner-img-1.png" alt=""></div> <div class="banner__embed--right"> <div class="banner__embed--heading">Want to get started?</div> <div class="button__content"><a data-w-id="f0589365-b444-1105-d537-03ce2610d54c" href="https://app.carto.com/signup/" target="_blank" class="button button__red w-inline-block btn--no-decoration"> <div class="btn__red--content"> <div class="btn-text">Start free trial</div><img src="https://assets.website-files.com/6345207a1b18e581fcf67604/636a1cb7fb269297d83908bc_icon-arrow.svg" loading="lazy" alt="" class="btn__arrow"> </div> <div class="btn-underline btn-underline--white"></div> </a></div> </div> </div></div></div></article></div><div class="section__banners"><div class="banner__share"><p class="paragraph--3 p-banner__share">Don’t forget to share this post on <a href="https://twitter.com/CARTO" title="Twitter" target="_blank" class="banner__share--link">Twitter</a>, <a href="https://www.facebook.com/CartoDB" title="Facebook" target="_blank" class="banner__share--link">Facebook</a> and <a href="https://www.linkedin.com/company/carto" title="Linkedin" target="_blank" class="banner__share--link">Linkedin</a>!</p></div><div class="author__about--condition w-condition-invisible"><div class="banner__author"><div class="author_wrapper"><div class="author-content"><p class="paragraph--1 p-banner__author">About the author</p><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df446cdf4db65ed19bf37_javier-de-la-torre.jpg" loading="lazy" alt="Javier de la Torre" class="author-avatar"/></div><div class="author-bio"><p class="author-bio-text">Javier de la Torre is founder and Chief Strategy Officer of CARTO. One of the pioneers of Location Intelligence, Javier founded the company with a vision to democratize data analysis and visualization. Under his leadership, CARTO has grown from a groundbreaking idea into one of the fastest growing geospatial companies in the world. In 2007, he founded Vizzuality, a renowned geospatial company dedicated to bridging the gap between science and policy making by the better use of data.</p><a href="/authors/javier-de-la-torre" class="more-posts w-inline-block"><div class="author-link">More Posts from </div><div class="author-link">Javier de la Torre</div></a></div></div></div></div><div class="author__about--condition"><div class="banner__author w-condition-invisible"><div class="author_wrapper"><div class="author-content"><p class="paragraph--1 p-banner__author">About the author</p><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/643544577999656278946293_carto-symbol.svg" loading="lazy" alt="" class="author-avatar"/></div><div class="author-bio"><p class="author-bio-text">Provided by our community, industry experts, or the CARTO Team, these blog posts cover the entire spectrum of spatial analysis. From location intelligence to GIS, spatial data science, industry trends, and much more, we’ve crafted relevant content to accompany you at every stage of your journey, whether you have a technical or business background. With our Blog, you are one step closer to taking spatial analysis to the next level.<a href="https://carto.com/authors/carto-contributors"><br/></a></p><a href="https://carto.com/authors/carto-contributors" class="more-posts w-inline-block"><div class="author-link">More Posts from </div><div class="author-link">CARTO Contributors</div></a></div></div></div></div><div class="author__about--condition w-condition-invisible"><div class="banner__author"><div class="author_wrapper"><div class="author-content"><p class="paragraph--1 p-banner__author">About the author</p><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df446cdf4db65ed19bf37_javier-de-la-torre.jpg" loading="lazy" alt="Javier de la Torre" class="author-avatar"/></div><div class="author-bio"><p class="author-bio-text">Javier de la Torre is founder and Chief Strategy Officer of CARTO. One of the pioneers of Location Intelligence, Javier founded the company with a vision to democratize data analysis and visualization. Under his leadership, CARTO has grown from a groundbreaking idea into one of the fastest growing geospatial companies in the world. In 2007, he founded Vizzuality, a renowned geospatial company dedicated to bridging the gap between science and policy making by the better use of data.</p><a href="/authors/javier-de-la-torre" class="more-posts w-inline-block"><div class="author-link">More Posts from </div><div class="author-link">Javier de la Torre</div></a></div></div><div class="author_wrapper"><div class="author-content"><p class="paragraph--1 p-banner__author">About the author</p><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df43642ffe801826b72d7_javier-perez-trufero.jpg" loading="lazy" alt="Javier Pérez Trufero" class="author-avatar"/></div><div class="author-bio"><p class="author-bio-text">Javier is VP of Product and is globally responsible for CARTO’s product portfolio and innovation roadmap. He also leads the company strategy with respect to third party data offerings and data science activities. Javier's responsibilities span the complete product development cycle. He also coordinates new alliances with top-class data providers.</p><a href="/authors/javier-perez-trufero" class="more-posts w-inline-block"><div class="author-link">More Posts from </div><div class="author-link">Javier Pérez Trufero</div></a></div></div></div></div><div class="author__about--condition"><div class="banner__author"><div class="author_wrapper"><div class="author-content"><p class="paragraph--1 p-banner__author">About the author</p><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df446cdf4db65ed19bf37_javier-de-la-torre.jpg" loading="lazy" alt="Javier de la Torre" class="author-avatar"/></div><div class="author-bio"><p class="author-bio-text">Javier de la Torre is founder and Chief Strategy Officer of CARTO. One of the pioneers of Location Intelligence, Javier founded the company with a vision to democratize data analysis and visualization. Under his leadership, CARTO has grown from a groundbreaking idea into one of the fastest growing geospatial companies in the world. In 2007, he founded Vizzuality, a renowned geospatial company dedicated to bridging the gap between science and policy making by the better use of data.</p><a href="/authors/javier-de-la-torre" class="more-posts w-inline-block"><div class="author-link">More Posts from </div><div class="author-link">Javier de la Torre</div></a></div></div><div class="author_wrapper"><div class="author-content"><p class="paragraph--1 p-banner__author">About the author</p><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df43642ffe801826b72d7_javier-perez-trufero.jpg" loading="lazy" alt="Javier Pérez Trufero" class="author-avatar"/></div><div class="author-bio"><p class="author-bio-text">Javier is VP of Product and is globally responsible for CARTO’s product portfolio and innovation roadmap. He also leads the company strategy with respect to third party data offerings and data science activities. Javier's responsibilities span the complete product development cycle. He also coordinates new alliances with top-class data providers.</p><a href="/authors/javier-perez-trufero" class="more-posts w-inline-block"><div class="author-link">More Posts from </div><div class="author-link">Javier Pérez Trufero</div></a></div></div><div class="author_wrapper"><div class="author-content"><p class="paragraph--1 p-banner__author">About the author</p><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/6509a5e06b78d7de6715db6c_carto_ernesto.jpeg" loading="lazy" alt="Ernesto Martínez Becerra" sizes="100vw" srcset="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/6509a5e06b78d7de6715db6c_carto_ernesto-p-500.jpeg 500w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/6509a5e06b78d7de6715db6c_carto_ernesto.jpeg 512w" class="author-avatar"/></div><div class="author-bio"><p class="author-bio-text">Ernesto Martínez Becerra is a Geographer and geospatial technology enthusiast. As a Senior Product Manager, he’s currently responsible for overseeing the APIs and Data Analytics products on the CARTO platform.</p><a href="/authors/ernesto-martinez-becerra" class="more-posts w-inline-block"><div class="author-link">More Posts from </div><div class="author-link">Ernesto Martínez Becerra</div></a></div></div></div></div></div><div class="post-nav"><nav aria-label="Posts" class="post-nav__nav"><div class="post-nav__column"><div fs-cmsprevnext-element="previous" class="post-nav__previous"></div><div class="post-nav__previous-row"><div class="post-nav__text">Previous Post</div></div></div><div class="post-nav__column"><div fs-cmsprevnext-element="next" class="post-nav__next"></div><div class="post-nav__next-row"><div class="post-nav__text">Next Post</div></div></div></nav><div class="post-nav__list w-dyn-list"><div fs-cmsprevnext-element="list" role="list" class="w-dyn-items"><div role="listitem" class="w-dyn-item"><a href="/blog/presidential-elections-us" class="post-nav__link">What divides the U.S.? 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href="/blog/upgrades-improve-carto-platform-performance-more-than-20-percent" class="post__img--link w-inline-block"><img loading="lazy" alt="Upgrades improve CARTO platform performance by > 20%" src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992fe4cdf4829b7d5e169_header.png" sizes="(max-width: 479px) 100vw, (max-width: 991px) 83vw, 26vw" srcset="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992fe4cdf4829b7d5e169_header-p-500.png 500w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992fe4cdf4829b7d5e169_header-p-800.png 800w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992fe4cdf4829b7d5e169_header-p-1080.png 1080w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992fe4cdf4829b7d5e169_header-p-1600.png 1600w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992fe4cdf4829b7d5e169_header.png 1750w" class="post__img"/></a></div><div class="post__info"><div class="author__header post__author--condition"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df324db842ed750d768d5_alberto-asuero.jpg" loading="lazy" alt="Alberto Asuero" class="post__avatar"/></div><div class="authors__links"><a href="/authors/alberto-asuero" class="post__author">Alberto Asuero</a><div class="author__dot">·</div><div class="post__date">Oct 2, 2020</div></div></div><div class="author__header post__author--condition w-condition-invisible"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df324db842ed750d768d5_alberto-asuero.jpg" loading="lazy" alt="Alberto Asuero" class="post__avatar"/><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar"/><img src="" loading="lazy" alt="" class="post__avatar w-dyn-bind-empty"/></div><div class="authors__links"><a href="/authors/alberto-asuero" class="post__author">Alberto Asuero</a><div class="author__and">and</div><a href="#" class="post__author w-dyn-bind-empty"></a><div class="author__dot">·</div><div class="post__date">Oct 2, 2020</div></div></div><div class="author__header post__author--condition w-condition-invisible"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/637df324db842ed750d768d5_alberto-asuero.jpg" loading="lazy" alt="Alberto Asuero" class="post__avatar"/><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar"/><img src="" loading="lazy" alt="" class="post__avatar w-dyn-bind-empty"/><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar"/><img src="" loading="lazy" alt="" class="post__avatar w-dyn-bind-empty"/></div><div class="authors__links"><a href="/authors/alberto-asuero" class="post__author post__author--main">Alberto Asuero</a><div class="author__comma author__comma--main">,</div><a href="#" class="post__author post__author--main w-dyn-bind-empty"></a><div class="author__and author__and--main">and</div><a href="#" class="post__author post__author--main w-dyn-bind-empty"></a><div class="author__dot">·</div><div class="post__date post__date--main">Oct 2, 2020</div></div></div></div><a href="/blog/upgrades-improve-carto-platform-performance-more-than-20-percent" class="post__related--heading w-inline-block"><h2 class="heading--3 carto-content--title">Upgrades improve CARTO platform performance by > 20%</h2><p class="paragraph--3 post-related">Following several upgrades to the CARTO platform we are pleased to announce significant performance & security improvements.</p></a><a href="/categories/core-tech" class="post__related--category w-inline-block"><div>Core Tech</div></a></div><div role="listitem" class="post__item w-dyn-item"><div class="post__img--wrapper"><a href="/blog/integrate-carto-qgis-direct-sql-connection" class="post__img--link w-inline-block"><img loading="lazy" alt="Integrate CARTO & QGIS Using the New Direct SQL Connection" src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992f2833be9fd66a326b2_header.jpeg" sizes="(max-width: 479px) 100vw, (max-width: 991px) 83vw, 26vw" srcset="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992f2833be9fd66a326b2_header-p-500.jpeg 500w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992f2833be9fd66a326b2_header-p-800.jpeg 800w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992f2833be9fd66a326b2_header-p-1080.jpeg 1080w, https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/639992f2833be9fd66a326b2_header.jpeg 1100w" class="post__img"/></a></div><div class="post__info"><div class="author__header post__author--condition"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/638493222a102435b9bd3a54_borja-munoz.jpg" loading="lazy" alt="Borja Muñoz" class="post__avatar"/></div><div class="authors__links"><a href="/authors/borja-munoz" class="post__author">Borja Muñoz</a><div class="author__dot">·</div><div class="post__date">Jun 25, 2020</div></div></div><div class="author__header post__author--condition w-condition-invisible"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/638493222a102435b9bd3a54_borja-munoz.jpg" loading="lazy" alt="Borja Muñoz" class="post__avatar"/><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar"/><img src="" loading="lazy" alt="" class="post__avatar w-dyn-bind-empty"/></div><div class="authors__links"><a href="/authors/borja-munoz" class="post__author">Borja Muñoz</a><div class="author__and">and</div><a href="#" class="post__author w-dyn-bind-empty"></a><div class="author__dot">·</div><div class="post__date">Jun 25, 2020</div></div></div><div class="author__header post__author--condition w-condition-invisible"><div class="authors__avatars"><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar w-condition-invisible"/><img src="https://cdn.prod.website-files.com/63483ad423421bd16e7a7ae7/638493222a102435b9bd3a54_borja-munoz.jpg" loading="lazy" alt="Borja Muñoz" class="post__avatar"/><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar"/><img src="" loading="lazy" alt="" class="post__avatar w-dyn-bind-empty"/><img src="https://cdn.prod.website-files.com/6345207a1b18e581fcf67604/637e3b4c42ffe84d0f71381f_cargo-webclip.png" loading="lazy" alt="" class="post__avatar"/><img src="" loading="lazy" alt="" class="post__avatar w-dyn-bind-empty"/></div><div class="authors__links"><a href="/authors/borja-munoz" class="post__author post__author--main">Borja Muñoz</a><div class="author__comma author__comma--main">,</div><a href="#" class="post__author post__author--main w-dyn-bind-empty"></a><div class="author__and author__and--main">and</div><a href="#" class="post__author post__author--main w-dyn-bind-empty"></a><div class="author__dot">·</div><div class="post__date post__date--main">Jun 25, 2020</div></div></div></div><a href="/blog/integrate-carto-qgis-direct-sql-connection" class="post__related--heading w-inline-block"><h2 class="heading--3 carto-content--title">Integrate CARTO & QGIS Using the New Direct SQL Connection</h2><p class="paragraph--3 post-related">Integrating CARTO & QGIS through the Direct SQL Connection: access CARTO's database from QGIS using a regular PostGIS connection.</p></a><a href="/categories/core-tech" class="post__related--category w-inline-block"><div>Core 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