Top 4 Reasons to Use MongoDB 8.0

<!doctype html> <html lang="en-us"> <head> <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=5" /> <meta charset="utf-8" /> <link rel="preconnect" href="https://static.mongodb.com" crossorigin /> <link rel="dns-prefetch" href="https://static.mongodb.com" /> <link rel="preconnect" href="https://webassets.mongodb.com" /> <link rel="dns-prefetch" href="https://webassets.mongodb.com" /> <link rel="preload" href="https://static.mongodb.com/blog/fonts/akzidenzgroteskbq_medium-webfont.woff2" as="font" crossorigin="anonymous" /> <link rel="preload" href="https://static.mongodb.com/blog/fonts/akzidenzgroteskbq_light-webfont.woff2" as="font" crossorigin="anonymous" /> <link rel="preload" href="https://static.mongodb.com/blog/fonts/icons.woff2" as="font" crossorigin="anonymous" /> <link rel="preload" href="https://static.mongodb.com/blog/fonts/DINWeb-Bold.woff" as="font" crossorigin="anonymous" /> <link rel="preload" href="https://webassets.mongodb.com/_com_assets/cms/8.0Announcement_BlogBespoke_HEADER-o801ctmx47.png" as="image"> <title>Top 4 Reasons to Use MongoDB 8.0 | MongoDB Blog</title> <meta name="description" content="MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions." /> <link rel="preload" href="//cdn.optimizely.com/js/15508090763.js" as="script" /> <link rel="preconnect" href="//logx.optimizely.com" /> <script src="https://cdn.optimizely.com/js/15508090763.js"></script> <link rel="canonical" href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0"> <meta property="og:site_name" content="MongoDB" /> <meta property="og:title" content="Top 4 Reasons to Use MongoDB 8.0 | MongoDB Blog" /> <meta name="og:description" content="MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions." /> <meta property="og:url" content="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0" /> <meta property="og:type" content="article" /> <meta property="og:image" content="https://webimages.mongodb.com/_com_assets/cms/m1pcs16j7dkepfssx-8.0Announcement_BlogBespoke_META.png?auto=format%252Ccompress"> <meta property="og:image:secure_url" content="https://webimages.mongodb.com/_com_assets/cms/m1pcs16j7dkepfssx-8.0Announcement_BlogBespoke_META.png?auto=format%252Ccompress"> <meta name='twitter:card' content='summary_large_image' /> <meta name='twitter:site' content='@mongodb' /> <meta name='twitter:title' content="Top 4 Reasons to Use MongoDB 8.0 | MongoDB Blog" /> <meta name='twitter:description' content="MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions." /> <meta name='twitter:image' content="https://webimages.mongodb.com/_com_assets/cms/m1pcs16j7dkepfssx-8.0Announcement_BlogBespoke_META.png?auto=format%252Ccompress" /> <script> !function(e,n){var t=document.createElement("script"),o=null,x="pathway";t.async=!0,t.src='https://'+x+'.mongodb.com/'+(e?x+'-debug.js':''),document.head.append(t),t.addEventListener("load",function(){o=window.pathway.default,(n&&o.configure(n)),o.createProfile("mongodbcom").load(),window.segment=o})}(); </script> <link rel="alternate" type="application/rss+xml" title="RSS" href="https://www.mongodb.com/blog/rss" /> <link rel="icon" href="/blog/assets/favicon.ico" type="image/x-icon" /> <link rel="shortcut icon" href="/blog/assets/favicon.ico" /> <link rel="stylesheet" type="text/css" href="https://static.mongodb.com/blog/index.a3c03e54d216abfb1d6df8fa9bfcf2ed.css" /> <script id="structured-data" type="application/ld+json">{"@context":"https://schema.org","@type":"BlogPosting","url":"https://mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0","headline":"Top 4 Reasons to Use MongoDB 8.0","description":"MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions.","datePublished":"2024-10-02T13:32:00.000Z","dateModified":"2024-11-04T16:50:31.369Z","mainEntityOfPage":{"@type":"WebPage","url":"https://mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0"},"image":["https://webassets.mongodb.com/_com_assets/cms/8.0Announcement_BlogBespoke_HEADER-o801ctmx47.png"],"publisher":{"@type":"Organization","name":"MongoDB","logo":{"@type":"imageObject","url":"https://webassets.mongodb.com/_com_assets/cms/mongodb_logo1-76twgcu2dm.png"}},"author":{"@type":"Person","name":"Scott Amerman"},"inLanguage":"English","articleBody":""}</script> <script async type="module" src="https://static.mongodb.com/blog/index.a3c03e54d216abfb1d6df8fa9bfcf2ed.js"></script> <noscript> <style> .card { opacity: 1 !important; transform: none !important } </style> </noscript> <link href="https://cdnjs.cloudflare.com/ajax/libs/prism/1.19.0/themes/prism-tomorrow.min.css" rel="stylesheet" /> <script defer src="https://cdnjs.cloudflare.com/ajax/libs/prism/1.19.0/prism.min.js"></script> <script defer src="https://cdnjs.cloudflare.com/ajax/libs/prism/1.19.0/plugins/autoloader/prism-autoloader.min.js"></script> </head> <body class="body"> <noscript><iframe style="display:none" src="https://www.googletagmanager.com/ns.html?id=GTM-GDFN&nojscript=true"></iframe></noscript> <div id="mongo-app"> <div style="background-color: white; height: 70px;"></div><main class="app"><div class="relative w-full overflow-hidden fl fl-center-x fl-wrap"><header class="header relative fl fl-center fl-column w-full z-index-10 m-b-10 p-20 h-360"><div class="absolute top left w-full h-full" style="background-image: url("https://webassets.mongodb.com/_com_assets/cms/8.0Announcement_BlogBespoke_HEADER-o801ctmx47.png"); background-size: cover; background-position: center; background-repeat: no-repeat;"></div><div class="absolute top left w-full h-full" style="background-color: rgba(0, 0, 0, 0.4);"></div><h1 class="relative white w-max-800 m-h-20 m-t-0 m-b-10 txt-center font-40 font-mobile-25">Top 4 Reasons to Use MongoDB 8.0</h1></header><div class="relative p-h-20 p-v-30 w-full w-max-800"><div class="fl fl-wrap fl-center-y m-b-20"><div class="fl fl-wrap p-v-10"><a href="/blog/authors/scott-amerman"><div class="relative m-r-10 w-50 h-50 b-r-full" style="background-image: url("https://webassets.mongodb.com/_com_assets/cms/E01C4Q4H3CL-U04D1MYBYCE-87418375f406-512-8telfe56kv.jpeg"); background-size: cover; background-position: center;"></div></a><a href="/blog/authors/cristopher-stauffer"><div class="relative m-r-10 w-50 h-50 b-r-full" style="background-image: url("https://webassets.mongodb.com/_com_assets/cms/E01C4Q4H3CL-U5H64AB9U-c730b6529397-512-fap8hpuwl3.jpeg"); background-size: cover; background-position: center;"></div></a></div><div><small><a href="/blog/authors/scott-amerman">Scott Amerman</a> and <a href="/blog/authors/cristopher-stauffer">Cristopher Stauffer</a></small><br /><small class="post-date">October 2, 2024<span style="color: #687a86;"> | Updated: November 4, 2024</span></small><br /><a href="/blog/tags/mongodb-8.0"><small class="m-r-10 tag">#MongoDB 8.0</small></a></div></div><div class="cms-content h2-30"><div class="callout"> <p><b>This post is also available in: <a href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-de" target="_blank">Deutsch</a>, <a href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-fr" target="_blank">Français</a>, <a href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-la" target="_blank">Español</a>, <a href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-br" target="_blank">Português</a>, <a href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-it" target="_blank">Italiano</a>, <a href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-kr" target="_blank">한국어</a>, <a href="https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-cn" target="_blank">简体中文</a>.</b></p> </div> <p>We’re excited to announce that <a href="https://www.mongodb.com/products/updates/version-release?tck=8_0_blog" target="_blank">MongoDB 8.0</a>—the newest version of the world’s most popular document database, used by millions of developers and more than 50,000 customers around the world—is now generally available. MongoDB 8.0 builds upon MongoDB’s industry-leading capabilities to provide significant performance improvements, reduced costs, and greater ease of use, from local deployments to globally distributed applications at enterprise scale.</p> <div class='blockquote-sm'> <img src="https://webimages.mongodb.com/_com_assets/cms/m1p0qp65mnnzvj4bx-1697112395111.jpeg?auto=format%252Ccompress" alt=”” /> <blockquote> <p>Developers have long loved building with MongoDB, so we've ensured that 8.0 kept the bar extremely high for developer usability. MongoDB 8.0 was also built to exceed our customers’ most stringent security, resiliency, availability, and performance requirements, and is the most impressive version of MongoDB yet. MongoDB 8.0 gives customers the strongest possible foundation for building a wide range of applications, now and in the future.</p> <small>Jim Scharf, Chief Technology Officer, MongoDB</small> </blockquote> </div> <p>For MongoDB 8.0, we focused our engineering efforts around four core goals:</p> <ul> <li> <p>Optimize performance for the widest variety of applications</p> </li> <li> <p>Deliver innovative encryption to unlock new use cases</p> </li> <li> <p>Reduce costs and increase scale with rapid and intuitive horizontal scaling for high availability</p> </li> <li> <p>Ensure resilience for unexpected application demand</p> </li> </ul> <p>So how do these goals actually benefit teams as they build and manage applications? We’ll start by looking at why you should use MongoDB 8.0.</p> <p>Whether you’re a seasoned MongoDB veteran or are new to the database, MongoDB 8.0 is a great foundation for new applications and supercharging existing ones alike. Version 8.0 combines the things developers love most about MongoDB—like an intuitive and cohesive developer experience, support for a broad set of use cases, and operational ease of use—with unparalleled performance improvements.</p> <iframe width="800" height="425" src="https://www.youtube.com/embed/5UsOqjBaNMU?si=-TkD1MTMfuZy4xig" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe> <h2>Top reasons to switch to MongoDB 8.0</h2> <h3>1. MongoDB 8.0 is over 30% faster than before</h3> <figure> <div class="fl-center"> <img src="https://webassets.mongodb.com/_com_assets/cms/Technical_SOFTWARE_8.0(4)_Spot-madnh5p440.png" alt=" " title=" " style="width: 300px"/> </div> <figcaption class="fl-center"> </figcaption> </figure> <p>As the data applications generate and use grows, minor inefficiencies can lead to disproportionate increases in infrastructure costs. Because many customers primarily interact with businesses through their applications, poor or inconsistent application performance can lead to customer unhappiness, lost opportunities, and declines in revenue. So it’s imperative for organizations to ensure that their applications perform consistently well.</p> <p>MongoDB 8.0 significantly improves performance by allowing applications to rapidly and efficiently query and transform data, with up to 36% better throughput. Architectural optimizations in MongoDB 8.0 have reduced memory usage and query times, and a combination of more efficient batch processing and optimizations has enabled 59% higher throughput for updates and 20% faster concurrent writes during data replication. Additionally, optimizations in MongoDB 8.0 mean the database can handle higher volumes of time series data and perform operations over 200% faster—with lower resource usage and costs.</p> <h3>2. MongoDB 8.0 is more secure than ever</h3> <p>Data protection and security are essential. With the increasing complexity and volume of data being transmitted, stored, and processed across environments, safeguarding sensitive information with robust encryption is more critical than ever. Organizations must protect their data throughout its lifecycle—in transit over networks, at rest where it is stored, and while it’s in use for querying and processing. However, it can be challenging to encrypt data while it is queried and processed, leaving data vulnerable to exposure or exfiltration by malicious actors.</p> <p><a href="https://www.mongodb.com/docs/manual/core/queryable-encryption/" target="_blank">MongoDB Queryable Encryption</a> is an industry-first innovation developed by the MongoDB Cryptography Research Group. It allows customers to encrypt sensitive data on the client side, store it securely as fully randomized encrypted data in the MongoDB database, and to run expressive queries on the encrypted data for processing.</p> <p>MongoDB 8.0 now includes support for range queries—in addition to equality queries—to expand secure data retrieval with greater flexibility for common searches. With Queryable Encryption, the required data remains encrypted until it reaches an authorized end user using a customer-controlled decryption key—with no cryptography expertise required.</p> <h3>3. MongoDB 8.0 makes it cheaper and easier to scale</h3> <figure> <div class="fl-center"> <img src="https://webassets.mongodb.com/_com_assets/cms/Technical_SOFTWARE_8.0(2)_Spot-vnv3eb7f4a.png" alt=" " title=" " style="width: 300px"/> </div> <figcaption class="fl-center"> </figcaption> </figure> <p>As organizations grow, their applications’ requirements tend to evolve. For example, scaling to support millions of users can be challenging for organizations that originally designed their applications for thousands of users. This is because implementing architectural changes in production applications can involve significant effort that can be costly and time-consuming.</p> <p>With MongoDB 8.0, horizontal scaling is now faster and easier, and at a lower cost. With horizontal scaling, applications can scale beyond the limits of traditional database resources by splitting data across multiple servers known as shards—without having to pre-provision increasing amounts of compute resources for a single server. New sharding capabilities in MongoDB 8.0 distribute data across shards up to 50 times faster and at up to 50% lower cost to get started.</p> <h3>4. MongoDB 8.0 gives you more control to help your applications run smoothly</h3> <p>End-users expect consistent application experiences, even during periods of high demand and usage spikes. Organizations without a highly durable operational database risk poor customer experiences, with lagging application behavior (or even downtime) during times of high demand.</p> <p>MongoDB 8.0 provides greater control for teams optimizing database performance for unpredictable spikes in usage and sustained periods of high demand. MongoDB 8.0 includes new capabilities to set a default maximum time limit for running queries, to reject recurring types of problematic queries, and to set query settings to persist through events like database restarts. These capabilities help deliver consistent application behavior and high performance, irrespective of demand spikes or unexpected events.</p> <h2>Ready to try MongoDB 8.0?</h2> <p>If you are building a new application, the easiest way to get started with <a href="https://www.mongodb.com/products/updates/version-release?tck=8_0_blog" target="_blank">MongoDB 8.0</a> is by going to <a href="http://mongodb.com/try" target="_blank">mongodb.com/try</a>, where you can sign up for a free Atlas account, download the Community edition, and learn more about self-managing MongoDB with an Enterprise Advanced subscription.</p> <p>If you are running a previous version of MongoDB, there are helpful upgrade tutorials for <a href="https://learn.mongodb.com/courses/mongodb-atlas-upgrades-maintenance" target="_blank">MongoDB Atlas</a> and <a href="https://learn.mongodb.com/learn/course/self-managed-upgrades-maintenance" target="_blank">self-managed deployments</a>. Additionally, <a href="https://www.mongodb.com/docs/atlas/tutorial/major-version-change/" target="_blank">documentation</a> and <a href="https://www.mongodb.com/services/consulting/major-version-upgrade" target="_blank">expert help</a> from the MongoDB professional services team are on hand.</p> <p>If you have an existing application that is not currently using MongoDB as the database, check out the MongoDB <a href="https://www.mongodb.com/products/tools/relational-migrator" target="_blank">Relational Migrator tool</a>. Relational Migrator can help you map existing relational schemas to a MongoDB schema, perform data migrations, and convert existing relational queries, triggers, and stored procedures to work with MongoDB.</p> <p>The MongoDB engineering and product teams <a href="https://www.mongodb.com/blog/post/mongodb-8-0-raising-the-bar" target="_blank">listened attentively to developer feedback</a>, and MongoDB 8.0 was built with developer usability—as well as security, durability, availability, and performance—top of mind. We’re excited for you to give it a try, and are sure you’ll enjoy the performance gains and other benefits of MongoDB 8.0!</p> </div><div class="w-full fl fl-center m-v-20"><div class="w-full w-max-300" style="height: 1px; background: #D9E0E0;"></div><div class="fl fl-center p-20"><a target="_tab" href="https://www.facebook.com/sharer.php?u=https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0"><button aria-label="Share on facebook" class="fl fl-center white clickable h-35 w-35 m-h-5 b-r-full reset bg-green hover-fadein-half hover-lift icon-facebook"></button></a><a target="_tab" href="https://www.linkedin.com/shareArticle?mini=true&url=https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0&title=Top 4 Reasons to Use MongoDB 8.0&summary=MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions.&source=MongoDB"><button aria-label="Share on linkedin" class="fl fl-center white clickable h-35 w-35 m-h-5 b-r-full reset bg-green hover-fadein-half hover-lift icon-linkedin"></button></a><a target="_tab" href="https://reddit.com/submit?url=https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0&title=Top 4 Reasons to Use MongoDB 8.0"><button aria-label="Share on reddit" class="fl fl-center white clickable h-35 w-35 m-h-5 b-r-full reset bg-green hover-fadein-half hover-lift icon-reddit"></button></a><a target="_tab" href="https://twitter.com/intent/tweet?url=https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0&text=Top 4 Reasons to Use MongoDB 8.0"><button aria-label="Share on twitter" class="fl fl-center white clickable h-35 w-35 m-h-5 b-r-full reset bg-green hover-fadein-half hover-lift icon-twitter"></button></a></div><div class="w-full w-max-300" style="height: 1px; background: #D9E0E0;"></div></div><div class="related-posts fl fl-wrap fl-justify-between p-v-20"><div class="card-container relative w-full w-max-360 h-475 "><div class="absolute" style="width: 1px; height: 1px; top: -350px; background: transparent;"></div><div class="absolute" style="width: 1px; height: 1px; bottom: -350px; background: transparent;"></div><div class="card reset relative clickable w-full h-full w-max-360 b-r-4 bg-white box-shadow transition-ease-out-4 overflow-hidden" style="opacity: 0; transform: translate(0, 15px); transition: 300ms; transition-delay: 0ms;"><a href="/blog/post/mongodb-8-0-raising-the-bar" target="_self" class="reset w-full h-full" style="display: inline-block;"><div class="h-200 w-full overflow-hidden"><div class="bg h-full w-full" style="background: linear-gradient(180deg, rgba(17,97,73,0.6) 0%, rgba(10,29,41,0.6) 100%), 50% 50% / cover; transform: null;"></div><div class="absolute left top p-20 white"><strong>← Previous</strong></div></div><div class="p-20 h-max-220"><h3 class="m-0 fnt-20 relative line-clamp line-clamp-3">MongoDB 8.0: Raising the Bar</h3><p class="relative line-clamp line-clamp-3"> I recently received an automated reminder that I was approaching a work anniversary, which took me somewhat by surprise. It’s hard to believe that it’s already been a year (to the day) that I joined MongoDB ! So I thought I’d take a moment to reflect on my MongoDB journey so far, share some exciting product updates, and signal where we’re headed next. Our customers I joined MongoDB because it built a product developers love. The innovation of MongoDB’s document model empowered developers to simply build. No longer encumbered by having to formalize and denormalize their data schema before their application was even designed, MongoDB enabled developers to interact with data in an intuitive JSON format, and made it easy to evolve data structures as the life of their application evolved. One of my first steps upon joining the company was to learn more about our customers. I was excited to learn that in addition to delighting developers, MongoDB had launched capabilities that enabled it to win mission-critical workloads from enterprise class customers—including 70% of the Fortune 100 and highly regulated global financial institutions, health care providers, and government agencies. I found it remarkable that customers could replicate data across AWS, Google Cloud, and Microsoft Azure in MongoDB Atlas (our fully-managed cloud database service) with just a few mouse clicks, and that some customers replicate data between the cloud and on premises using MongoDB Enterprise Advanced. This optionality struck me as powerful in the era of rapid advancements in AI, as it enables customers to easily bring their data to the best cloud provider for AI. Soon after I joined MongoDB, the team was firming up the development roadmap for the next version of MongoDB, and they asked for my input on the plan. The team was debating whether to focus on features developers would love, or governance capabilities required by large enterprises. I knew that ideally we would please all of our customers, so we had to try to make this an “and” and not an “or.” While I was new to MongoDB, from my 17+ years at AWS I learned that all customers demand security, durability, availability, and performance (in that order) from any modern technology offering. If a product or service doesn’t have those four elements, customers won’t buy whatever you’re selling. So as a team, we agreed that our next release of MongoDB—MongoDB 8.0—had to raise the bar for all of our customers, delivering great security, durability, availability, and performance. The plan We had less than a year before our target launch, so we knew we had to get moving, fast. My team and I brought MongoDB’s product and engineering organizations together to align on the plan for our next release. We set goals around delivering significant improvements in security, durability, and availability. And we set a line in the sand—that we weren’t going to release MongoDB 8.0 unless it was the best-performing version of MongoDB yet. Measuring the performance of a feature-rich database like MongoDB can be tricky, as customers run a wide range of workloads. So we decided to run a suite of benchmarks to simulate customer workloads. We also developed Andon cord -inspired automation that would automatically roll back any code contributions that regressed our performance metrics. Finally, a set of senior engineering leaders met regularly to review our progress and immediately escalated any blockers that could jeopardize our launch, so that we could quickly fix things. From my experience, I knew that great teams really respond when they’re given clear goals, and when they’re empowered to innovate, so I was excited to see what they would come up with. I’m proud to say that our product and engineering teams rose to the challenge. Announcing MongoDB 8.0 Today, I’m thrilled to announce the general availability of MongoDB 8.0 —the most secure, durable, available, and performant version of MongoDB yet! The team came up with architectural optimizations in MongoDB 8.0 that have significantly reduced memory usage and query times, and have made batch processing more efficient than previous versions. Specifically, MongoDB 8.0 features: 36% better read throughput 56% faster bulk writes 20% faster concurrent writes during data replication 200% faster on complex aggregations of times series data In making these improvements, we're seeing benchmarks for typical web applications perform 32% better overall. Here’s a breakdown of how MongoDB 8.0 performs against some of our benchmarks: Improved performance benefits all users of applications built atop MongoDB, and for MongoDB customers, it can mean reduced costs (due to an improved price/performance ratio). In addition to significant performance gains, MongoDB 8.0 delivers a wide range of improvements, including (but not limited to): Improving availability by delivering sharding enhancements to distribute data across shards up to 50 times faster and at up to 50% lower starting cost, with reduced need for additional configuration or setup. Improving support for a wide range of search and AI applications at higher scale and lower cost, via the delivery of quantized vectors—compressed representations of full-fidelity vectors—that require up to 96% less memory and are faster to retrieve while preserving accuracy. Enabling customers to encrypt data at rest, in transit, and in use by expanding MongoDB’s Queryable Encryption to also support range queries. Queryable Encryption is a groundbreaking, industry-first innovation developed by the MongoDB Cryptography Research Group that allows customers to encrypt sensitive application data, store it securely as fully randomized encrypted data in the MongoDB database, and run expressive queries on the encrypted data —with no cryptography expertise required. You might wonder why we’re so confident that customers are going to love MongoDB 8.0. Well, we’ve been acting as our own customer, and have moved our own applications over to 8.0. This approach is generally called “ dogfooding ,” but we think that “eating our own pizza” sounds more appetizing. Our internal build system—which our software developers use daily—is built atop MongoDB, and when we upgraded to MongoDB 8.0 we saw query latencies drop by approximately 75%! This was a double win, as it improved the performance of our own tooling, and it set our performance chat room abuzz with excitement in anticipation of delighting external customers. While results may vary based on your particular workload, the point is that we just couldn’t wait to share MongoDB 8.0’s performance gains with customers. Indeed, customers are also already seeing great results on MongoDB 8.0. For example, Felix Horvat, Chief Technology Officer at OCELL , a climate technology company in Germany, said: “With MongoDB 8.0, we have seen an incredible boost in performance, with some of our queries running twice as fast as before . This improvement not only enhances our data processing capabilities but also aligns perfectly with our commitment to resource efficiency. By optimizing our backend operations, we can be more effective in our climate initiatives while conserving resources—a true reflection of our dedication to sustainable solutions.” I encourage you to check out MongoDB 8.0 yourself. It’s available today via MongoDB Atlas, as part of MongoDB Enterprise Advanced for on-premises and hybrid deployments, and as a free download from mongodb.com/try with MongoDB Community Edition. In addition, customers upgrading from previous versions of MongoDB to 8.0 can find helpful upgrade guides on mongodb.com. What’s next? We’re excited for you to try MongoDB 8.0 and to share your feedback, as customer feedback helps us guide our roadmap for future releases. Going forward, please watch this space. Over the next few weeks, we’ll be publishing a series of engineering blog posts that dig into MongoDB’s investments in the technology behind MongoDB 8.0. We’re also planning posts about horizontal scaling in MongoDB 8.0, and one that will look closely at queryable encryption (QE), but let me know what you’d like to hear more about. It’s been an exciting year at MongoDB—I can’t wait to see what the next one has in store! –Jim </p><div class="absolute bottom left bg-white w-full fl fl-justify-between p-20"><small class="fnt-14">October 2, 2024</small></div></div></a></div></div><div class="card-container relative w-full w-max-360 h-475 "><div class="absolute" style="width: 1px; height: 1px; top: -350px; background: transparent;"></div><div class="absolute" style="width: 1px; height: 1px; bottom: -350px; background: transparent;"></div><div class="card reset relative clickable w-full h-full w-max-360 b-r-4 bg-white box-shadow transition-ease-out-4 overflow-hidden" style="opacity: 0; transform: translate(0, 15px); transition: 300ms; transition-delay: 0ms;"><a href="/blog/post/multi-agent-collaboration-for-manufacturing-operations-optimization" target="_self" class="reset w-full h-full" style="display: inline-block;"><div class="h-200 w-full overflow-hidden"><div class="bg h-full w-full" style="background: linear-gradient(180deg, rgba(17,97,73,0.6) 0%, rgba(10,29,41,0.6) 100%), 50% 50% / cover; transform: null;"></div><div class="absolute right top p-20 white"><strong>Next →</strong></div></div><div class="p-20 h-max-220"><h3 class="m-0 fnt-20 relative line-clamp line-clamp-3">Multi-Agent Collaboration for Manufacturing Operations Optimization</h3><p class="relative line-clamp line-clamp-3"> While there are some naysayers across the media landscape who doubt the potential impact of AI innovations, for those of us immersed in implementing AI on a daily basis, there’s wide agreement that its potential is huge and world-altering. It’s now generally accepted that Large Language Models (LLMs) will eventually be able to perform tasks as well—if not better—than a human. And the size of the potential AI market is truly staggering. Bain’s AI analysis estimates that the total addressable market (TAM) for AI and gen AI-related hardware and software will grow between 40% and 55% annually, reaching between $780 billion and $990 billion by 2027. This growth is especially relevant to industries like manufacturing, where generative AI can be applied across the value chain. From inventory categorization to product risk assessments, knowledge management, and predictive maintenance strategy generation, AI's potential to optimize manufacturing operations cannot be overstated. But in order to realize the transformative economic potential of AI, applications powered by LLMs need to evolve beyond chatbots that leverage retrieval-augmented generation (RAG). Truly transformative AI-powered applications need to be objective-driven, not just responding to user queries but also taking action on behalf of the user. This is crucial in complex manufacturing processes. In other words, they need to act like agents. Agentic systems, or compound AI systems, are currently emerging as the next frontier of generative AI applications. These systems consist of a single or multiple AI agents that collaborate with each other and use tools to provide value. An AI agent is a computational entity containing short- and long-term memory, which enables it to provide context to an LLM. It also has access to tools, such as web search and function calling, that enable it to act upon the response from an LLM or provide additional information to the LLM. Figure 1. Basic components of an agentic system. An agentic system can have more than one AI agent. In most cases, AI agents may be required to interact with other agents within the same system or external systems., They’re expected to engage with humans for feedback or review of outputs from execution steps. AI agents can also comprehend the context of outputs from other agents and humans, and change their course of action and next steps. For example, agents can monitor and optimize various facets of manufacturing operations simultaneously, such as supply chain logistics and production line efficiency. There are certain benefits of having a multi-agent collaboration system instead of having one single agent. You can have each agent customized to do one thing and do it well. For example, one agent can create meeting minutes while another agent writes follow-up emails. It can also be implemented on predictive maintenance, with one agent analyzing machine data to find mechanical issues before they occur while another optimizes resource allocation, ensuring materials and labor are utilized efficiently. You can also provision dedicated resources and tools for different agents. For example, one agent uses a model to analyze and transcribe videos while the other uses models for natural language processing (NLP) and answering questions about the video. Figure 2. Multi-agent collaboration system. MongoDB can act as the memory provider for an agentic system. Conversation history alongside vector embeddings can be stored in MongoDB leveraging the flexible document model. Atlas Vector Search can be used to run semantic search on stored vector embeddings, and our sharding capabilities allow for horizontal scaling without compromising on performance. Our clients across industries have been leveraging MongoDB Atlas for their generative AI use cases , including agentic AI use cases such as Questflow , which is transforming work by using multi-agent AI to handle repetitive tasks in strategic roles. Supported by MiraclePlus and MongoDB Atlas, it enables startups to automate workflows efficiently. As it expands to larger enterprises, it aims to boost AI collaboration and streamline task automation, paving the way for seamless human-AI integration. The concept of a multi-agent collaboration system is new, and it can be challenging for manufacturing organizations to identify the right use case to apply this cutting-edge technology. Below, we propose a use case where three agents collaborate with each other to optimize the performance of a machine. Multi-agent collaboration use case in manufacturing In manufacturing operations, leveraging multi-agent collaboration for predictive maintenance can significantly boost operational efficiency. For instance, consider a production environment where three distinct agents—predictive maintenance, process optimization, and quality assurance—collaborate in real-time to refine machine operations and maintain the factory at peak performance. In Figure 3, the predictive maintenance agent is focused on machinery maintenance. Its main tasks are to monitor equipment health by analyzing sensor data generated from the machines. It predicts machine failures and recommends maintenance actions to extend machinery lifespan and prevent downtime as much as possible. Figure 3. A multi-agent system for production optimization. The process optimization agent is designed to enhance production efficiency. It analyzes production parameters to identify inefficiencies and bottlenecks, and it optimizes said parameters by adjusting them (speed, vibration, etc.) to maintain product quality and production efficiency. This agent also incorporates feedback from the other two agents while making decisions on what production parameter to tune. For instance, the predictive maintenance agent can flag an anomaly in a milling machine temperature sensor reading; for example, if temperature values are going up, the process optimization agent can review the cutting speed parameter for adjustment. The quality assurance agent is responsible for evaluating product quality. It analyzes optimized production parameters and checks how those parameters can affect the quality of the product being fabricated. It also provides feedback for the other two agents. The three agents constantly exchange feedback with each other, and this feedback is also stored in the MongoDB Atlas database as agent short-term memory. In contrast, vector embeddings and sensor data are persisted as long-term memory. MongoDB is an ideal memory provider for agentic AI use case development thanks to its flexible document model, extensive security and data governance features, and horizontal scalability. All three agents have access to a "search_documents" tool, which leverages Atlas Vector Search to query vector embeddings of machine repair manuals and old maintenance work orders. The predictive maintenance agent leverages this tool to figure out additional insights while performing machine root cause diagnostics. Set up the use case shown in this article using our repo . To learn more about MongoDB’s role in the manufacturing industry, please visit our manufacturing and automotive webpage . To learn more about AI agents, visit our Demystifying AI Agents guide . </p><div class="absolute bottom left bg-white w-full fl fl-justify-between p-20"><small class="fnt-14">February 19, 2025</small></div></div></a></div></div></div></div></div><div class="fixed bottom w-full fl fl-center pointer-events-none"><div class="clickable relative bg-green white fl fl-center h-50 p-30 shadow transition-400 transition-ease-out-4" style="transform: translate(0, 70px); pointer-events: auto; border-radius: 30px;"><p></p><span class="icon-x m-l-10"></span></div></div></main><div style="background-color: white;"></div> </div> <script hidden id="server-data" type="text/template"> {"baseUrl":"https://www.mongodb.com","channels":[{"_id":"5d1a9e24659d12dfa24ba28c","name":"Home","title":"MongoDB Blog","description":"Announcements, updates, news, and more","featured":"67a3841a3aba6b8cadff6b02","index":0,"featured_node_id":"65e9de49a4e0d91ee54f3f6e","updated_at":"2025-02-10T15:00:26.643Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-07-01T23:58:28.773Z","created_by":"5571ce696d6f6e1ab80f0000"},{"_id":"5d13472763ca09ceaccd1e5d","name":"News","title":"Company News","description":"The latest news from around MongoDB","featured":"67605b98f6a2e6fee7019375","featured_node_id":"65e9de3f402e3732ae795eb0","updated_at":"2024-12-23T17:08:09.587Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-06-26T10:21:27.162Z","created_by":"5be2cd65b7ddf201c80385dc","index":1},{"_id":"5d134f924d49320f1040896d","name":"Applied","title":"Applications ","description":"Customer stories, use cases, and experiences of MongoDB ","featured":"67a3841a3aba6b8cadff6b02","featured_node_id":"65e9de5ca18fc6e724c103bf","updated_at":"2025-02-10T15:00:34.525Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-06-26T10:57:22.657Z","created_by":"5be2cd65b7ddf201c80385dc","index":2},{"_id":"5d134fa91f62955efbec3b62","name":"Updates","title":"Product Updates","description":"The most recent MongoDB product releases and updates","featured":"670922083a16387e3bbaf1ba","featured_node_id":"65e9de90402e37498a795eb1","updated_at":"2024-10-30T13:25:29.867Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-06-26T10:57:45.332Z","created_by":"5be2cd65b7ddf201c80385dc","index":5},{"_id":"5d134f422660a6bf5acebb5d","name":"Culture","title":"Life at MongoDB","description":"Who MongoDB is as a company on the inside and outside","featured":"6720d5993a16387e3ba7f5f3","featured_node_id":"65e9de9da4e0d959524f3f70","updated_at":"2024-10-30T13:25:36.762Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-06-26T10:56:02.400Z","created_by":"5be2cd65b7ddf201c80385dc","index":6},{"_id":"5d1ab09b93db7ef9ca5b3b41","name":"Events","title":"Company Events","description":"Events from MongoDB and its Partners","featured":"6718f2de3a16387e3b780f23","index":7,"featured_node_id":"65e9deaf402e3735dd795eb2","updated_at":"2024-10-30T13:25:51.943Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-07-02T01:17:15.801Z","created_by":"5571ce696d6f6e1ab80f0000"},{"_id":"653f0042771a22cb798a8006","name":"Artificial Intelligence","title":"Artificial Intelligence","description":"Building AI-powered Apps with MongoDB","featured":"67462274f6a2e6fee75d16bb","index":8,"featured_node_id":"65e9debb402e3744d0795eb3","updated_at":"2024-12-02T16:00:13.061Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2023-10-30T01:00:50.757Z","created_by":"5f74b33bd21a1f001470a770"},{"_id":"61608bf446bc0deae5b2e538","created_at":"2021-10-08T18:20:36.721Z","description":"Posts on Engineering efforts, achievements, and culture at MongoDB.","featured":"679a687651481c82e67d6430","index":9,"name":"Engineering Blog","title":"MongoDB Engineering Blog","updated_at":"2025-01-30T16:07:01.036Z","featured_node_id":"623b3bef26d2d263beba305c","updated_by":"616dd2e92c89a60011114b63"}],"posts":[{"_id":"66faf07e1e965fd84b9643ff","url":"blog/post/mongodb-8-0-raising-the-bar","body":"I recently received an automated reminder that I was approaching a work anniversary, which took me somewhat by surprise. It’s hard to believe that it’s already been a year (to the day) that <a href=\"https://www.mongodb.com/company/newsroom/press-releases/mongo-db-announces-jim-scharf-as-chief-technology-officer\" target=\"_blank\">I joined MongoDB</a>! So I thought I’d take a moment to reflect on my MongoDB journey so far, share some exciting product updates, and signal where we’re headed next. \n\n## Our customers\n\nI joined MongoDB because it built a product developers love. The innovation of MongoDB’s document model empowered developers to simply build. No longer encumbered by having to formalize and denormalize their data schema before their application was even designed, MongoDB enabled developers to interact with data in an intuitive JSON format, and made it easy to evolve data structures as the life of their application evolved. \n\nOne of my first steps upon joining the company was to learn more about our customers. I was excited to learn that in addition to delighting developers, MongoDB had launched capabilities that enabled it to win mission-critical workloads from enterprise class customers—including 70% of the Fortune 100 and highly regulated global financial institutions, health care providers, and government agencies. I found it remarkable that customers could replicate data across AWS, Google Cloud, and Microsoft Azure in MongoDB Atlas (our fully-managed cloud database service) with just a few mouse clicks, and that some customers replicate data between the cloud and on premises using MongoDB Enterprise Advanced. This optionality struck me as powerful in the era of rapid advancements in AI, as it enables customers to easily bring their data to the best cloud provider for AI. \n\nSoon after I joined MongoDB, the team was firming up the development roadmap for the next version of MongoDB, and they asked for my input on the plan. The team was debating whether to focus on features developers would love, or governance capabilities required by large enterprises. I knew that ideally we would please all of our customers, so we had to try to make this an “and” and not an “or.” While I was new to MongoDB, from my 17+ years at AWS I learned that all customers demand security, durability, availability, and performance (in that order) from any modern technology offering. If a product or service doesn’t have those four elements, customers won’t buy whatever you’re selling. So as a team, we agreed that our next release of MongoDB—MongoDB 8.0—had to raise the bar for all of our customers, delivering great security, durability, availability, and performance.\n\n## The plan \n\nWe had less than a year before our target launch, so we knew we had to get moving, fast. My team and I brought MongoDB’s product and engineering organizations together to align on the plan for our next release. We set goals around delivering significant improvements in security, durability, and availability. And we set a line in the sand—that we weren’t going to release MongoDB 8.0 unless it was the best-performing version of MongoDB yet. \n\nMeasuring the performance of a feature-rich database like MongoDB can be tricky, as customers run a wide range of workloads. So we decided to run a suite of benchmarks to simulate customer workloads. We also developed <a href=\"https://en.wikipedia.org/wiki/Andon_(manufacturing)\" target=\"_blank\">Andon cord</a>-inspired automation that would automatically roll back any code contributions that regressed our performance metrics. Finally, a set of senior engineering leaders met regularly to review our progress and immediately escalated any blockers that could jeopardize our launch, so that we could quickly fix things. \n\nFrom my experience, I knew that great teams really respond when they’re given clear goals, and when they’re empowered to innovate, so I was excited to see what they would come up with. I’m proud to say that our product and engineering teams rose to the challenge.\n\n## Announcing MongoDB 8.0\n\nToday, I’m thrilled to announce <a href=\"https://www.mongodb.com/products/updates/version-release\" target=\"_blank\">the general availability of MongoDB 8.0</a>—the most secure, durable, available, and performant version of MongoDB yet! The team came up with architectural optimizations in MongoDB 8.0 that have significantly reduced memory usage and query times, and have made batch processing more efficient than previous versions. \n\n\nSpecifically, MongoDB 8.0 features:\n\n* 36% better read throughput\n\n* 56% faster bulk writes \n\n* 20% faster concurrent writes during data replication \n\n* 200% faster on complex aggregations of times series data\n\nIn making these improvements, we're seeing benchmarks for typical web applications perform 32% better overall. Here’s a breakdown of how MongoDB 8.0 performs against some of our benchmarks:\n\n<figure>\n<div class=\"fl-center\">\n<img src=\"https://webassets.mongodb.com/_com_assets/cms/Screenshot 2024-10-01 at 11.19.15 AM-4sxjd40tzz.png\" alt=\"Image depicting the performance improvements of MongoDB 8.0. In order going down the image, YCSB Bulk Load is 56% faster, YCSB 100% Read is 36% faster, TCSV 95/5 is 32% faster, Linkbench is 24% faster, and TSBS is 60% faster.\" title=\" \" style=\"width: 750px\"/>\n</div>\n<figcaption class=\"fl-center\"> </figcaption>\n</figure>\n\nImproved performance benefits all users of applications built atop MongoDB, and for MongoDB customers, it can mean reduced costs (due to an improved price/performance ratio). \n\nIn addition to significant performance gains, MongoDB 8.0 delivers a wide range of improvements, including (but not limited to): \n\n* Improving availability by delivering sharding enhancements to distribute data across shards up to 50 times faster and at up to 50% lower starting cost, with reduced need for additional configuration or setup.\n\n* Improving support for a wide range of search and AI applications at higher scale and lower cost, via the delivery of quantized vectors—compressed representations of full-fidelity vectors—that require up to 96% less memory and are faster to retrieve while preserving accuracy. \n\n* Enabling customers to encrypt data at rest, in transit, and in use by expanding MongoDB’s Queryable Encryption to also support range queries. Queryable Encryption is a groundbreaking, industry-first innovation developed by the MongoDB Cryptography Research Group that allows customers to encrypt sensitive application data, store it securely as fully randomized encrypted data in the MongoDB database, and run <u>expressive queries on the encrypted data</u>—with no cryptography expertise required. \n\nYou might wonder why we’re so confident that customers are going to love MongoDB 8.0. Well, we’ve been acting as our own customer, and have moved our own applications over to 8.0. This approach is generally called “<a href=\"https://en.wikipedia.org/wiki/Eating_your_own_dog_food\" target=\"_blank\">dogfooding</a>,” but we think that “eating our own pizza” sounds more appetizing. Our internal build system—which our software developers use daily—is built atop MongoDB, and when we upgraded to MongoDB 8.0 we saw query latencies drop by approximately 75%! This was a double win, as it improved the performance of our own tooling, and it set our performance chat room abuzz with excitement in anticipation of delighting external customers. While results may vary based on your particular workload, the point is that we just couldn’t wait to share MongoDB 8.0’s performance gains with customers. \n\n<figure>\n<div class=\"fl-center\">\n<img src=\"https://webassets.mongodb.com/_com_assets/cms/Screenshot 2024-10-01 at 11.24.10 AM-rxtk4m877k.png\" alt=\"Graph showing different latency trends across different dates. The Y axis represents the amount of latency and the x axis marks the date.\" title=\" \" style=\"width: 550px\"/>\n</div>\n<figcaption class=\"fl-center\"> </figcaption>\n</figure>\n\nIndeed, customers are also already seeing great results on MongoDB 8.0. For example, Felix Horvat, Chief Technology Officer at <a href=\"https://www.ocell.io/en-us/about-us\" target=\"_blank\">OCELL</a>, a climate technology company in Germany, said: “With MongoDB 8.0, we have seen an incredible boost in performance, with some of our queries running <u>twice as fast as before</u>. This improvement not only enhances our data processing capabilities but also aligns perfectly with our commitment to resource efficiency. By optimizing our backend operations, we can be more effective in our climate initiatives while conserving resources—a true reflection of our dedication to sustainable solutions.”\n\nI encourage you to <a href=\"https://www.mongodb.com/products/updates/version-release\" target=\"_blank\">check out MongoDB 8.0</a> yourself. It’s available today via MongoDB Atlas, as part of MongoDB Enterprise Advanced for on-premises and hybrid deployments, and as a free download from <a href=\"http://mongodb.com/try\" target=\"_blank\">mongodb.com/try</a> with MongoDB Community Edition. In addition, customers upgrading from previous versions of MongoDB to 8.0 can find helpful <a href=\"https://www.mongodb.com/docs/manual/tutorial/upgrade-revision/\" target=\"_blank\">upgrade guides</a> on mongodb.com. \n\n## What’s next?\n\nWe’re excited for you to try MongoDB 8.0 and to share your feedback, as customer feedback helps us guide our roadmap for future releases. \n\nGoing forward, please watch this space. Over the next few weeks, we’ll be publishing a series of engineering blog posts that dig into MongoDB’s investments in the technology behind MongoDB 8.0. We’re also planning posts about horizontal scaling in MongoDB 8.0, and one that will look closely at <a href=\"https://www.mongodb.com/resources/products/capabilities/queryable-encryption-technical-paper\" target=\"_blank\">queryable encryption</a> (QE), but let me know what you’d like to hear more about. \n\nIt’s been an exciting year at MongoDB—I can’t wait to see what the next one has in store!\n\n–Jim\n","created_at":"2024-09-30T18:39:58.747Z","meta":{"title":"MongoDB 8.0: Raising The Bar","title#localised":true,"description":"MongoDB 8.0: Rising to the Challenge","description#localised":true},"node_type":"blog_post","node_type_attributes":{},"published_at":"2024-10-02T09:59:00.000Z","status":"published","title":"MongoDB 8.0: Raising the Bar","updated_at":"2024-10-02T10:04:41.918Z","cms":{"editedURL":true},"draft":true,"globals":[{"_id":"6001f22ac1f95e773a0e0044","key":"AccountLogin","created_at":"2021-01-15T19:51:06.717Z","props":{"title":"MongoDB Stands with the Black Community, changes","subtitle":"Join MongoDB in supporting organizations that are fighting for racial justice and equal opportunity","cta":{"text":"Join Now","href":"https://mongodbforjustice.mongodb.events/","openInNewWindow":false,"faux":false},"image":{"desktop":"https://account.mongodb.com/static/images/auth/racial_justice_desktop_login.png","mobile":"https://account.mongodb.com/static/images/auth/racial_justice_mobile.png"},"artist":"Artwork by [Lo Harris](http://loharris.com/)"},"updated_at":"2024-10-02T09:06:25.582Z"},{"_id":"601c7536f53e6b3af09679d3","key":"PromoBanner","created_at":"2021-02-04T22:29:10.420Z","props":{"type":4,"typeColor":0,"title":"Watch now: The MongoDB.local London keynote. Hear the latest from our CPO! Tune in >>","href":"https://www.mongodb.com/events/mongodb-local/london?tck=pencil_banner_hp#keynote","titleColor":0,"background":1,"disabled":false,"eventBranded":false,"eventBrandedButtonImg":0},"updated_at":"2024-10-02T09:06:25.589Z","translations":{"en-us":{"title":"Watch now: The MongoDB.local London keynote. Hear the latest from our CPO! Tune in >>","href":"https://www.mongodb.com/events/mongodb-local/london?tck=pencil_banner_hp#keynote","eventBranded":false,"disabled":false,"type":4,"eventBrandedButtonImg":0,"typeColor":0,"background":1,"titleColor":0},"pt-br":{"title":"Register for MongoDB.live today!","type":0,"titleColor":0},"es":{"title":"Register for MongoDB.live today!"},"it-it":{"title":"Register for MongoDB.live today!"},"de-de":{"title":"Register for MongoDB.live today!"},"fr-fr":{"title":"Register for MongoDB.live today!"},"ja-jp":{"title":"Register for MongoDB.live today!"},"ko-kr":{"title":"Register for MongoDB.live today!"},"zh-cn":{"title":"Register for MongoDB.live today!"}}},{"_id":"60c127b5527761a42edca7bb","key":"TranslationFallbackBanner","created_at":"2021-06-09T20:42:29.953Z","updated_at":"2024-10-02T09:06:25.593Z","props":{"text":"The contents of this page are not currently available in the selected language. However, we are committed to providing as much localized content as possible. Thanks for your patience."},"translations":{"en-us":{"text":"The contents of this page are not currently available in the selected language. However, we are committed to providing as much localized content as possible. Thanks for your patience."},"pt-br":{"text":"O conteúdo desta página não está disponível no idioma selecionado no momento. No entanto, estamos comprometidos em oferecer o máximo de conteúdo localizado possível. Agradecemos a paciência."},"es":{"text":"El contenido de esta página no está disponible actualmente en el idioma seleccionado. Sin embargo, nos comprometemos a proporcionar la mayor cantidad de contenido localizado posible. Gracias por tu paciencia."},"it-it":{"text":"I contenuti di questa pagina non sono attualmente disponibili nella lingua selezionata. Tuttavia, ci impegniamo a fornire il maggior numero possibile di contenuti localizzati. Grazie per la pazienza."},"de-de":{"text":"Die Inhalte dieser Seite sind derzeit nicht in der gewählten Sprache verfügbar. Wir arbeiten jedoch daran, so viele lokalisierte Inhalte wie möglich bereitzustellen. Vielen Dank für Ihre Geduld."},"fr-fr":{"text":"Le contenu de cette page n'est actuellement pas disponible dans la langue sélectionnée. Nous mettons toutefois tout en œuvre pour proposer autant de contenu localisé que possible. Merci de votre patience."},"ja-jp":{"text":"現在、このページの選択した言語のコンテンツはありません。ローカライズされたコンテンツをできるだけ多く提供できるよう取り組んでいます。しばらくお待ちください。"},"ko-kr":{"text":"본 페이지 컨텐츠는 현재 선택된 언어로는 볼 수 없습니다. 가능한 빨리 현지화된 컨텐츠를 제공해 드리기 위해 노력하고 있습니다. 기다려 주셔서 감사합니다."},"zh-cn":{"text":"本页面内容目前不支持所选语言。我们将尽可能提供更多的本地化内容。敬请期待。"}}},{"_id":"616eeecda9b8227a40aa618c","key":"DTRolloutComponent","props":{"targetAudience":"100"},"created_at":"2021-10-19T16:14:05.400Z","updated_at":"2024-10-02T09:06:25.597Z"},{"_id":"653956df6e40c7d11245d051","key":"PencilBanner","props":{"pillText":"Event","disabled":false,"bannerTheme":0,"theme":"forestGreen","bannerText":"Watch now: The MongoDB.local London keynote. Hear the latest from our CPO! <mark>Tune in >></mark>","href":"https://www.mongodb.com/events/mongodb-local/london?tck=pencil_banner_hp#keynote"},"created_at":"2023-10-20T17:42:11.857Z","updated_at":"2024-10-02T09:06:25.601Z","translations":{"en-us":{"theme":"forestGreen","pillText":"Event","bannerText":"Watch now: The MongoDB.local London keynote. Hear the latest from our CPO! <mark>Tune in >></mark>","href":"https://www.mongodb.com/events/mongodb-local/london?tck=pencil_banner_hp#keynote","bannerTheme":0,"disabled":false},"pt-br":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"es":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"it-it":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"de-de":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"fr-fr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ja-jp":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ko-kr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"zh-cn":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"}}}],"header_bg":"https://webimages.mongodb.com/_com_assets/cms/m1pcux3txfjyultqi-Leadership-JimScharf-8.0_BlogBespoke_HEADER.png?auto=format%252Ccompress","locale":"en","saved_by":{"_id":"5f74b33bd21a1f001470a770","user_name":"evan.alger","permissions":{"roles":["Content Lead"],"node_types":[],"documents":[],"collections":[]}},"updateHistory":[{"time":"2024-09-30T18:41:08.950Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-01T17:16:43.757Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-01T17:29:12.300Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-01T17:29:48.964Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-01T17:30:16.837Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-01T17:38:04.445Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-01T17:39:18.173Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-02T08:48:13.293Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-02T08:48:46.549Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-02T09:56:48.490Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-02T09:59:00.065Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"},{"time":"2024-10-02T09:59:05.519Z","user_name":"evan.alger","versionMessage":"EA Draft 9/30/2024"}],"versionMessage":"EA Draft 9/30/2024","channel_ids":["61608bf446bc0deae5b2e538","5d1a9e24659d12dfa24ba28c"],"node_ids":["66fc2e7290d310e3c1a16d76"],"tag_ids":["63288dd3f45f6d0e9f632240","66fc319d6dace3b2dddb849f"],"content_expires_at":null,"expired_redirect_to":"","form_label":"","header_opacity":"6","hero_cta_link":"","hero_cta_text":"","jira":"","meta_canonical_url":"","meta_description":"MongoDB CTO Jim Scharf reflects on his first year and announces MongoDB 8.0, the most performant version of MongoDB yet.","meta_noindex":false,"meta_og_image":"https://webassets.mongodb.com/_com_assets/cms/Leadership-JimScharf-8.0_BlogBespoke_META (1)-uz51h9pm92.png","meta_title":"MongoDB 8.0: Raising the Bar","region":"","script":"","summary":"","twitter_description":"MongoDB CTO Jim Scharf reflects on his first year and announces MongoDB 8.0, the most performant version of MongoDB yet.","twitter_image":"https://webassets.mongodb.com/_com_assets/cms/Leadership-JimScharf-8.0_BlogBespoke_META (1)-uz51h9pm92.png","twitter_title":"MongoDB 8.0: Raising the Bar","updated_by":"5f74b33bd21a1f001470a770","url_type":"alias"},{"_id":"66ec18ab1e965fd84b7d111f","url":"blog/post/top-4-reasons-to-use-mongodb-8-0","body":"<div class=\"callout\">\n\t\n<b>This post is also available in: <a href=\"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-de\" target=\"_blank\">Deutsch</a>, <a href=\"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-fr\" target=\"_blank\">Français</a>, <a href=\"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-la\" target=\"_blank\">Español</a>, <a href=\"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-br\" target=\"_blank\">Português</a>, <a href=\"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-it\" target=\"_blank\">Italiano</a>, <a href=\"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-kr\" target=\"_blank\">한국어</a>, <a href=\"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0-cn\" target=\"_blank\">简体中文</a>.</b>\n</div>\t\n\nWe’re excited to announce that <a href=\"https://www.mongodb.com/products/updates/version-release?tck=8_0_blog\" target=\"_blank\">MongoDB 8.0</a>—the newest version of the world’s most popular document database, used by millions of developers and more than 50,000 customers around the world—is now generally available. MongoDB 8.0 builds upon MongoDB’s industry-leading capabilities to provide significant performance improvements, reduced costs, and greater ease of use, from local deployments to globally distributed applications at enterprise scale.\n\n<div class='blockquote-sm'>\n<img src=\"https://webimages.mongodb.com/_com_assets/cms/m1p0qp65mnnzvj4bx-1697112395111.jpeg?auto=format%252Ccompress\" alt=”” />\n<blockquote>\n<p>Developers have long loved building with MongoDB, so we've ensured that 8.0 kept the bar extremely high for developer usability. MongoDB 8.0 was also built to exceed our customers’ most stringent security, resiliency, availability, and performance requirements, and is the most impressive version of MongoDB yet. MongoDB 8.0 gives customers the strongest possible foundation for building a wide range of applications, now and in the future.</p>\n<small>Jim Scharf, Chief Technology Officer, MongoDB</small>\n</blockquote>\n</div>\n\nFor MongoDB 8.0, we focused our engineering efforts around four core goals:\n\n* Optimize performance for the widest variety of applications\n\n* Deliver innovative encryption to unlock new use cases\n\n* Reduce costs and increase scale with rapid and intuitive horizontal scaling for high availability\n\n* Ensure resilience for unexpected application demand\n\nSo how do these goals actually benefit teams as they build and manage applications? We’ll start by looking at why you should use MongoDB 8.0.\n\nWhether you’re a seasoned MongoDB veteran or are new to the database, MongoDB 8.0 is a great foundation for new applications and supercharging existing ones alike. Version 8.0 combines the things developers love most about MongoDB—like an intuitive and cohesive developer experience, support for a broad set of use cases, and operational ease of use—with unparalleled performance improvements. \n\n<iframe width=\"800\" height=\"425\" src=\"https://www.youtube.com/embed/5UsOqjBaNMU?si=-TkD1MTMfuZy4xig\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen></iframe>\n\n## Top reasons to switch to MongoDB 8.0\n\n### 1. MongoDB 8.0 is over 30% faster than before\n\n<figure>\n<div class=\"fl-center\">\n<img src=\"https://webassets.mongodb.com/_com_assets/cms/Technical_SOFTWARE_8.0(4)_Spot-madnh5p440.png\" alt=\" \" title=\" \" style=\"width: 300px\"/>\n</div>\n<figcaption class=\"fl-center\"> </figcaption>\n</figure>\n\nAs the data applications generate and use grows, minor inefficiencies can lead to disproportionate increases in infrastructure costs. Because many customers primarily interact with businesses through their applications, poor or inconsistent application performance can lead to customer unhappiness, lost opportunities, and declines in revenue. So it’s imperative for organizations to ensure that their applications perform consistently well. \n\nMongoDB 8.0 significantly improves performance by allowing applications to rapidly and efficiently query and transform data, with up to 36% better throughput. Architectural optimizations in MongoDB 8.0 have reduced memory usage and query times, and a combination of more efficient batch processing and optimizations has enabled 59% higher throughput for updates and 20% faster concurrent writes during data replication. Additionally, optimizations in MongoDB 8.0 mean the database can handle higher volumes of time series data and perform operations over 200% faster—with lower resource usage and costs.\n\n\n### 2. MongoDB 8.0 is more secure than ever\n\nData protection and security are essential. With the increasing complexity and volume of data being transmitted, stored, and processed across environments, safeguarding sensitive information with robust encryption is more critical than ever. Organizations must protect their data throughout its lifecycle—in transit over networks, at rest where it is stored, and while it’s in use for querying and processing. However, it can be challenging to encrypt data while it is queried and processed, leaving data vulnerable to exposure or exfiltration by malicious actors.\n\n<a href=\"https://www.mongodb.com/docs/manual/core/queryable-encryption/\" target=\"_blank\">MongoDB Queryable Encryption</a> is an industry-first innovation developed by the MongoDB Cryptography Research Group. It allows customers to encrypt sensitive data on the client side, store it securely as fully randomized encrypted data in the MongoDB database, and to run expressive queries on the encrypted data for processing.\n\nMongoDB 8.0 now includes support for range queries—in addition to equality queries—to expand secure data retrieval with greater flexibility for common searches. With Queryable Encryption, the required data remains encrypted until it reaches an authorized end user using a customer-controlled decryption key—with no cryptography expertise required. \n\n### 3. MongoDB 8.0 makes it cheaper and easier to scale\n\n<figure>\n<div class=\"fl-center\">\n<img src=\"https://webassets.mongodb.com/_com_assets/cms/Technical_SOFTWARE_8.0(2)_Spot-vnv3eb7f4a.png\" alt=\" \" title=\" \" style=\"width: 300px\"/>\n</div>\n<figcaption class=\"fl-center\"> </figcaption>\n</figure>\n\nAs organizations grow, their applications’ requirements tend to evolve. For example, scaling to support millions of users can be challenging for organizations that originally designed their applications for thousands of users. This is because implementing architectural changes in production applications can involve significant effort that can be costly and time-consuming.\n\nWith MongoDB 8.0, horizontal scaling is now faster and easier, and at a lower cost. With horizontal scaling, applications can scale beyond the limits of traditional database resources by splitting data across multiple servers known as shards—without having to pre-provision increasing amounts of compute resources for a single server. New sharding capabilities in MongoDB 8.0 distribute data across shards up to 50 times faster and at up to 50% lower cost to get started. \n\n\n### 4. MongoDB 8.0 gives you more control to help your applications run smoothly \n\nEnd-users expect consistent application experiences, even during periods of high demand and usage spikes. Organizations without a highly durable operational database risk poor customer experiences, with lagging application behavior (or even downtime) during times of high demand. \n\nMongoDB 8.0 provides greater control for teams optimizing database performance for unpredictable spikes in usage and sustained periods of high demand. MongoDB 8.0 includes new capabilities to set a default maximum time limit for running queries, to reject recurring types of problematic queries, and to set query settings to persist through events like database restarts. These capabilities help deliver consistent application behavior and high performance, irrespective of demand spikes or unexpected events. \n\n## Ready to try MongoDB 8.0?\n\nIf you are building a new application, the easiest way to get started with <a href=\"https://www.mongodb.com/products/updates/version-release?tck=8_0_blog\" target=\"_blank\">MongoDB 8.0</a> is by going to <a href=\"http://mongodb.com/try\" target=\"_blank\">mongodb.com/try</a>, where you can sign up for a free Atlas account, download the Community edition, and learn more about self-managing MongoDB with an Enterprise Advanced subscription. \n\nIf you are running a previous version of MongoDB, there are helpful upgrade tutorials for <a href=\"https://learn.mongodb.com/courses/mongodb-atlas-upgrades-maintenance\" target=\"_blank\">MongoDB Atlas</a> and <a href=\"https://learn.mongodb.com/learn/course/self-managed-upgrades-maintenance\" target=\"_blank\">self-managed deployments</a>. Additionally, <a href=\"https://www.mongodb.com/docs/atlas/tutorial/major-version-change/\" target=\"_blank\">documentation</a> and <a href=\"https://www.mongodb.com/services/consulting/major-version-upgrade\" target=\"_blank\">expert help</a> from the MongoDB professional services team are on hand.\n\nIf you have an existing application that is not currently using MongoDB as the database, check out the MongoDB <a href=\"https://www.mongodb.com/products/tools/relational-migrator\" target=\"_blank\">Relational Migrator tool</a>. Relational Migrator can help you map existing relational schemas to a MongoDB schema, perform data migrations, and convert existing relational queries, triggers, and stored procedures to work with MongoDB.\n\nThe MongoDB engineering and product teams <a href=\"https://www.mongodb.com/blog/post/mongodb-8-0-raising-the-bar\" target=\"_blank\">listened attentively to developer feedback</a>, and MongoDB 8.0 was built with developer usability—as well as security, durability, availability, and performance—top of mind. We’re excited for you to give it a try, and are sure you’ll enjoy the performance gains and other benefits of MongoDB 8.0!","created_at":"2024-09-19T12:27:23.011Z","meta":{"title":"Top 4 Reasons To Use MongoDB 8.0","title#localised":true,"description":"Top 4 Reasons to Use MongoDB 8.0","description#localised":true},"node_type":"blog_post","node_type_attributes":{},"published_at":"2024-10-02T13:32:00.000Z","status":"published","title":"Top 4 Reasons to Use MongoDB 8.0","updated_at":"2024-11-04T16:50:31.369Z","cms":{"editedURL":true},"draft":true,"globals":[{"_id":"6001f22ac1f95e773a0e0044","key":"AccountLogin","created_at":"2021-01-15T19:51:06.717Z","props":{"title":"MongoDB Stands with the Black Community, changes","subtitle":"Join MongoDB in supporting organizations that are fighting for racial justice and equal opportunity","cta":{"text":"Join Now","href":"https://mongodbforjustice.mongodb.events/","openInNewWindow":false,"faux":false},"image":{"desktop":"https://account.mongodb.com/static/images/auth/racial_justice_desktop_login.png","mobile":"https://account.mongodb.com/static/images/auth/racial_justice_mobile.png"},"artist":"Artwork by [Lo Harris](http://loharris.com/)"},"updated_at":"2024-10-21T20:11:05.302Z"},{"_id":"601c7536f53e6b3af09679d3","key":"PromoBanner","created_at":"2021-02-04T22:29:10.420Z","props":{"type":4,"typeColor":0,"title":"Join us at AWS re:Invent 2024! Learn how to use MongoDB for AI use cases. Learn more >>","href":"https://www.mongodb.com/events/aws-reinvent?tck=pencil_banner","titleColor":0,"background":1,"disabled":false,"eventBranded":false,"eventBrandedButtonImg":0},"updated_at":"2024-10-21T20:11:05.312Z","translations":{"en-us":{"title":"Join us at AWS re:Invent 2024! Learn how to use MongoDB for AI use cases. Learn more >>","href":"https://www.mongodb.com/events/aws-reinvent?tck=pencil_banner","eventBranded":false,"disabled":false,"type":4,"eventBrandedButtonImg":0,"typeColor":0,"background":1,"titleColor":0},"pt-br":{"title":"Register for MongoDB.live today!","type":0,"titleColor":0},"es":{"title":"Register for MongoDB.live today!"},"it-it":{"title":"Register for MongoDB.live today!"},"de-de":{"title":"Register for MongoDB.live today!"},"fr-fr":{"title":"Register for MongoDB.live today!"},"ja-jp":{"title":"Register for MongoDB.live today!"},"ko-kr":{"title":"Register for MongoDB.live today!"},"zh-cn":{"title":"Register for MongoDB.live today!"}}},{"_id":"60c127b5527761a42edca7bb","key":"TranslationFallbackBanner","created_at":"2021-06-09T20:42:29.953Z","updated_at":"2024-10-21T20:11:05.319Z","props":{"text":"The contents of this page are not currently available in the selected language. However, we are committed to providing as much localized content as possible. Thanks for your patience."},"translations":{"en-us":{"text":"The contents of this page are not currently available in the selected language. However, we are committed to providing as much localized content as possible. Thanks for your patience."},"pt-br":{"text":"O conteúdo desta página não está disponível no idioma selecionado no momento. No entanto, estamos comprometidos em oferecer o máximo de conteúdo localizado possível. Agradecemos a paciência."},"es":{"text":"El contenido de esta página no está disponible actualmente en el idioma seleccionado. Sin embargo, nos comprometemos a proporcionar la mayor cantidad de contenido localizado posible. Gracias por tu paciencia."},"it-it":{"text":"I contenuti di questa pagina non sono attualmente disponibili nella lingua selezionata. Tuttavia, ci impegniamo a fornire il maggior numero possibile di contenuti localizzati. Grazie per la pazienza."},"de-de":{"text":"Die Inhalte dieser Seite sind derzeit nicht in der gewählten Sprache verfügbar. Wir arbeiten jedoch daran, so viele lokalisierte Inhalte wie möglich bereitzustellen. Vielen Dank für Ihre Geduld."},"fr-fr":{"text":"Le contenu de cette page n'est actuellement pas disponible dans la langue sélectionnée. Nous mettons toutefois tout en œuvre pour proposer autant de contenu localisé que possible. Merci de votre patience."},"ja-jp":{"text":"現在、このページの選択した言語のコンテンツはありません。ローカライズされたコンテンツをできるだけ多く提供できるよう取り組んでいます。しばらくお待ちください。"},"ko-kr":{"text":"본 페이지 컨텐츠는 현재 선택된 언어로는 볼 수 없습니다. 가능한 빨리 현지화된 컨텐츠를 제공해 드리기 위해 노력하고 있습니다. 기다려 주셔서 감사합니다."},"zh-cn":{"text":"本页面内容目前不支持所选语言。我们将尽可能提供更多的本地化内容。敬请期待。"}}},{"_id":"616eeecda9b8227a40aa618c","key":"DTRolloutComponent","props":{"targetAudience":"100"},"created_at":"2021-10-19T16:14:05.400Z","updated_at":"2024-10-21T20:11:05.326Z"},{"_id":"653956df6e40c7d11245d051","key":"PencilBanner","props":{"pillText":"Event","disabled":false,"bannerTheme":0,"theme":"forestGreen","bannerText":"Join us at AWS re:Invent 2024! Learn how to use MongoDB for AI use cases. <mark>Learn more >></mark>","href":"https://www.mongodb.com/events/aws-reinvent?tck=pencil_banner"},"created_at":"2023-10-20T17:42:11.857Z","updated_at":"2024-10-21T20:11:05.334Z","translations":{"en-us":{"theme":"forestGreen","pillText":"Event","bannerText":"Join us at AWS re:Invent 2024! Learn how to use MongoDB for AI use cases. <mark>Learn more >></mark>","href":"https://www.mongodb.com/events/aws-reinvent?tck=pencil_banner","bannerTheme":0,"disabled":false},"pt-br":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"es":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"it-it":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"de-de":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"fr-fr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ja-jp":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ko-kr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"zh-cn":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"}}}],"locale":"en","saved_by":{"_id":"5f74b33bd21a1f001470a770","user_name":"evan.alger","permissions":{"roles":["Content Lead"],"node_types":[],"documents":[],"collections":[]}},"updateHistory":[{"time":"2024-09-19T12:28:21.121Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-09-30T13:07:15.375Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-09-30T13:58:43.983Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-09-30T18:37:20.051Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-01T17:10:52.949Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-01T17:15:16.857Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-01T17:30:32.788Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T08:46:36.447Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:11:29.992Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:12:44.084Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:14:32.468Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:14:46.297Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:19:22.006Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:19:46.325Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:20:08.544Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:20:21.123Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:20:38.804Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:22:32.747Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:25:42.119Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:29:41.635Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T09:33:39.668Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T10:00:58.429Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-02T13:32:05.202Z","user_name":"evan.alger","versionMessage":"EA Draft 9/19/2024"},{"time":"2024-10-08T17:15:06.630Z","user_name":"stef.falkowski","versionMessage":"WEBSITE-17826 56 to 59"},{"time":"2024-10-09T18:27:52.539Z","user_name":"stef.falkowski","versionMessage":"WEBSITE-17826 56 to 59"},{"time":"2024-10-29T14:56:31.869Z","user_name":"evan.alger","versionMessage":"WEBSITE-17826 56 to 59"},{"time":"2024-10-29T14:57:37.017Z","user_name":"evan.alger","versionMessage":"WEBSITE-17826 56 to 59"},{"time":"2024-11-04T14:15:31.283Z","user_name":"evan.alger","versionMessage":"WEBSITE-17826 56 to 59"},{"time":"2024-11-04T14:15:55.212Z","user_name":"evan.alger","versionMessage":"WEBSITE-17826 56 to 59"},{"time":"2024-11-04T16:50:31.369Z","user_name":"evan.alger","versionMessage":"Added in Translations 11/4/2024"}],"versionMessage":"Added in Translations 11/4/2024","channel_ids":["5d1a9e24659d12dfa24ba28c","5d134fa91f62955efbec3b62"],"node_ids":["66fc2e14b61f436e290adf22","65fdd368bd3d1e13f0ab7c54"],"header_bg":"https://webassets.mongodb.com/_com_assets/cms/8.0Announcement_BlogBespoke_HEADER-o801ctmx47.png","content_expires_at":null,"expired_redirect_to":"","form_label":"","header_opacity":"6","hero_cta_link":"","hero_cta_text":"","jira":"","meta_canonical_url":"","meta_description":"MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions.","meta_noindex":false,"meta_og_image":"https://webimages.mongodb.com/_com_assets/cms/m1pcs16j7dkepfssx-8.0Announcement_BlogBespoke_META.png?auto=format%252Ccompress","meta_title":"Top 4 Reasons to Use MongoDB 8.0","region":"","script":"","summary":"","tag_ids":["66fc319d6dace3b2dddb849f"],"twitter_description":"MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions.","twitter_image":"https://webimages.mongodb.com/_com_assets/cms/m1pcs16j7dkepfssx-8.0Announcement_BlogBespoke_META.png?auto=format%252Ccompress","twitter_title":"Top 4 Reasons to Use MongoDB 8.0","updated_by":"5f74b33bd21a1f001470a770","url_type":"alias","tags":[{"_id":"66fc319d6dace3b2dddb849f","tag_group_id":"5754e1a5bc0141ac1d4d099b","name":"MongoDB 8.0","updated_at":"2024-10-01T17:30:05.517Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2024-10-01T17:30:05.518Z","created_by":"5f74b33bd21a1f001470a770"}],"channels":[{"_id":"5d134fa91f62955efbec3b62","name":"Updates","title":"Product Updates","description":"The most recent MongoDB product releases and updates","featured":"670922083a16387e3bbaf1ba","featured_node_id":"65e9de90402e37498a795eb1","updated_at":"2024-10-30T13:25:29.867Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-06-26T10:57:45.332Z","created_by":"5be2cd65b7ddf201c80385dc","index":5},{"_id":"5d1a9e24659d12dfa24ba28c","name":"Home","title":"MongoDB Blog","description":"Announcements, updates, news, and more","featured":"67a3841a3aba6b8cadff6b02","index":0,"featured_node_id":"65e9de49a4e0d91ee54f3f6e","updated_at":"2025-02-10T15:00:26.643Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2019-07-01T23:58:28.773Z","created_by":"5571ce696d6f6e1ab80f0000"}],"authors":[{"_id":"65fdd368bd3d1e13f0ab7c54","node_type":"profile","node_type_attributes":{"company":"MongoDB","job_title":"Senior Product Marketing Manager","photo_url":"https://webassets.mongodb.com/_com_assets/cms/E01C4Q4H3CL-U04D1MYBYCE-87418375f406-512-8telfe56kv.jpeg","blog_url":"","twitter_handle":"","linkedin_url":"","github_name":""},"title":"Scott Amerman","jira":"","status":"draft","published_at":null,"content_expires_at":null,"expired_redirect_to":"","url":"profile/scott-amerman","url_type":"alias","meta_title":"","meta_description":"","meta_canonical_url":"","meta_og_image":"","meta_noindex":false,"header_bg":"","hero_cta_text":"","hero_cta_link":"","form_label":"","header_opacity":"6","twitter_title":"","twitter_description":"","twitter_image":"","tag_ids":[],"node_ids":[],"region":"","summary":"","body":"","script":"","updated_at":"2024-03-22T18:53:29.918Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2024-03-22T18:52:24.013Z","created_by":"5f74b33bd21a1f001470a770"},{"_id":"66fc2e14b61f436e290adf22","node_type":"profile","node_type_attributes":{"company":"MongoDB","job_title":"Senior Director, Product Management","photo_url":"https://webassets.mongodb.com/_com_assets/cms/E01C4Q4H3CL-U5H64AB9U-c730b6529397-512-fap8hpuwl3.jpeg","blog_url":"","twitter_handle":"","linkedin_url":"","github_name":""},"title":"Cristopher Stauffer","jira":"","status":"draft","published_at":null,"content_expires_at":null,"expired_redirect_to":"","url":"profile/cristopher-stauffer","url_type":"alias","meta_title":"","meta_description":"","meta_canonical_url":"","meta_og_image":"","meta_noindex":false,"header_bg":"","hero_cta_text":"","hero_cta_link":"","form_label":"","header_opacity":"6","twitter_title":"","twitter_description":"","twitter_image":"","tag_ids":[],"node_ids":[],"region":"","summary":"","body":"","script":"","updated_at":"2024-10-01T17:15:00.730Z","updated_by":"5f74b33bd21a1f001470a770","created_at":"2024-10-01T17:15:00.730Z","created_by":"5f74b33bd21a1f001470a770"}]},{"_id":"67b5e27c894c403455b92f87","url":"blog/post/multi-agent-collaboration-for-manufacturing-operations-optimization","body":"While there are some naysayers across the media landscape who doubt the potential impact of AI innovations, for those of us immersed in implementing AI on a daily basis, there’s wide agreement that its potential is huge and world-altering. It’s now generally accepted that <a href=\"https://www.mongodb.com/resources/basics/artificial-intelligence/large-language-models\" target=\"_blank\">Large Language Models</a> (LLMs) will eventually be able to perform tasks as well—if not better—than a human. And the size of the potential AI market is truly staggering. Bain’s AI analysis estimates that the total addressable market (TAM) for AI and gen AI-related hardware and software will grow between 40% and 55% annually, reaching between $780 billion and $990 billion by 2027. This growth is especially relevant to industries like manufacturing, where generative AI can be applied across the value chain. From inventory categorization to product risk assessments, knowledge management, and predictive maintenance strategy generation, AI's potential to optimize manufacturing operations cannot be overstated.\n\nBut in order to realize the transformative economic potential of AI, applications powered by LLMs need to evolve beyond chatbots that leverage <a href=\"https://www.mongodb.com/resources/basics/artificial-intelligence/retrieval-augmented-generation\" target=\"_blank\">retrieval-augmented generation</a> (RAG). Truly transformative AI-powered applications need to be objective-driven, not just responding to user queries but also taking action on behalf of the user. This is crucial in complex manufacturing processes. In other words, they need to act like agents.\n\nAgentic systems, or compound AI systems, are currently emerging as the next frontier of generative AI applications. These systems consist of a single or multiple AI agents that collaborate with each other and use tools to provide value. An AI agent is a computational entity containing short- and long-term memory, which enables it to provide context to an LLM. It also has access to tools, such as web search and function calling, that enable it to act upon the response from an LLM or provide additional information to the LLM.\n\n<caption><center><b>Figure 1.</b> Basic components of an agentic system.</center></caption>\n\n<figure>\n<div class=\"fl-center\">\n<img src=\"https://webassets.mongodb.com/_com_assets/cms/Screenshot 2025-02-19 at 6.57.45 AM-d63spt7300.png\" alt=\"Diagram showing the basic components of an agentic system. On the left hand side is an icon representing users, and than a feedback loop where input connects to the AI agent, the AI agent creates output/feedback, and that connects back to input. On the right hand side, AI agent is powered by Tools, such as Atlas vector search, memory, and LLMs.\" title=\" \" style=\"width: 750px\"/>\n</div>\n<figcaption class=\"fl-center\"> </figcaption>\n</figure>\n\nAn agentic system can have more than one AI agent. In most cases, AI agents may be required to interact with other agents within the same system or external systems., They’re expected to engage with humans for feedback or review of outputs from execution steps. AI agents can also comprehend the context of outputs from other agents and humans, and change their course of action and next steps. For example, agents can monitor and optimize various facets of manufacturing operations simultaneously, such as supply chain logistics and production line efficiency. There are certain benefits of having a multi-agent collaboration system instead of having one single agent. You can have each agent customized to do one thing and do it well. For example, one agent can create meeting minutes while another agent writes follow-up emails. It can also be implemented on predictive maintenance, with one agent analyzing machine data to find mechanical issues before they occur while another optimizes resource allocation, ensuring materials and labor are utilized efficiently. You can also provision dedicated resources and tools for different agents. For example, one agent uses a model to analyze and transcribe videos while the other uses models for natural language processing (NLP) and answering questions about the video.\n\n<center><caption><b>Figure 2.</b> Multi-agent collaboration system.</center></caption>\n\n<figure>\n<div class=\"fl-center\">\n<img src=\"https://webassets.mongodb.com/_com_assets/cms/Screenshot 2025-02-19 at 7.00.39 AM-ywa1bcpiae.png\" alt=\"Diagram showing the multi-agent collaboration system. The user connects to the task, which connects to the AI agent, which outputs a task, which then connects back to the AI agent, and than finally produces the answer.\" title=\" \" style=\"width: 550px\"/>\n</div>\n<figcaption class=\"fl-center\"> </figcaption>\n</figure>\n\nMongoDB can act as the memory provider for an agentic system. Conversation history alongside vector embeddings can be stored in MongoDB leveraging the flexible document model. <a href=\"https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-overview/\" target=\"_blank\">Atlas Vector Search</a> can be used to run semantic search on stored vector embeddings, and our <a href=\"https://www.mongodb.com/docs/manual/sharding/\" target=\"_blank\">sharding</a> capabilities allow for horizontal scaling without compromising on performance. Our clients across industries have been leveraging MongoDB Atlas for their <a href=\"https://www.mongodb.com/solutions/customer-case-studies?solutions=gen-ai\" target=\"_blank\">generative AI use cases</a>, including agentic AI use cases such as <a href=\"https://www.mongodb.com/solutions/customer-case-studies/questflow\" target=\"_blank\">Questflow</a>, which is transforming work by using multi-agent AI to handle repetitive tasks in strategic roles. Supported by MiraclePlus and MongoDB Atlas, it enables startups to automate workflows efficiently. As it expands to larger enterprises, it aims to boost AI collaboration and streamline task automation, paving the way for seamless human-AI integration.\n\nThe concept of a multi-agent collaboration system is new, and it can be challenging for manufacturing organizations to identify the right use case to apply this cutting-edge technology. Below, we propose a use case where three agents collaborate with each other to optimize the performance of a machine.\n\n## Multi-agent collaboration use case in manufacturing\n\nIn manufacturing operations, leveraging multi-agent collaboration for predictive maintenance can significantly boost operational efficiency. For instance, consider a production environment where three distinct agents—predictive maintenance, process optimization, and quality assurance—collaborate in real-time to refine machine operations and maintain the factory at peak performance. \n\nIn Figure 3, the predictive maintenance agent is focused on machinery maintenance. Its main tasks are to monitor equipment health by analyzing sensor data generated from the machines. It predicts machine failures and recommends maintenance actions to extend machinery lifespan and prevent downtime as much as possible.\n\n<center><caption><b>Figure 3.</b> A multi-agent system for production optimization.</center></caption>\n\n<figure>\n<div class=\"fl-center\">\n<img src=\"https://webassets.mongodb.com/_com_assets/cms/Screenshot 2025-02-19 at 7.05.33 AM-njn69hade1.png\" alt=\"Diagram showing the multi-agent system for production optimization. On the left, the quality lead receives information from the quality assurance agent. On the right, the Process Lead receives optimization findings from the process optimization agent. Finally, the machine sends sensor data to the predictive maintenance agent, which sends maintenance findings to the maintenance lead.\" title=\" \" style=\"width: 750px\"/>\n</div>\n<figcaption class=\"fl-center\"> </figcaption>\n</figure>\n\nThe process optimization agent is designed to enhance production efficiency. It analyzes production parameters to identify inefficiencies and bottlenecks, and it optimizes said parameters by adjusting them (speed, vibration, etc.) to maintain product quality and production efficiency. This agent also incorporates feedback from the other two agents while making decisions on what production parameter to tune. For instance, the predictive maintenance agent can flag an anomaly in a milling machine temperature sensor reading; for example, if temperature values are going up, the process optimization agent can review the cutting speed parameter for adjustment. \n\nThe quality assurance agent is responsible for evaluating product quality. It analyzes optimized production parameters and checks how those parameters can affect the quality of the product being fabricated. It also provides feedback for the other two agents. \n\nThe three agents constantly exchange feedback with each other, and this feedback is also stored in the <a href=\"https://www.mongodb.com/products/platform/atlas-database\" target=\"_blank\">MongoDB Atlas</a> database as agent short-term memory. In contrast, vector embeddings and sensor data are persisted as long-term memory. MongoDB is an ideal memory provider for agentic AI use case development thanks to its flexible document model, extensive security and data governance features, and horizontal scalability. \n\nAll three agents have access to a \"search_documents\" tool, which leverages Atlas Vector Search to query vector embeddings of machine repair manuals and old maintenance work orders. The predictive maintenance agent leverages this tool to figure out additional insights while performing machine root cause diagnostics. \n\n<div class=\"callout\">\n\t\n<b>Set up the use case shown in this article using our <a href=\"https://github.com/mongodb-industry-solutions/Leafy-Predictive-Maintenance-Agents\" target=\"_blank\">repo</a>. To learn more about MongoDB’s role in the manufacturing industry, please visit our <a href=\"https://www.mongodb.com/industries/manufacturing?tck=multi_agent_manufacturing_blog\" target=\"_blank\">manufacturing and automotive webpage</a>.</b>\n\n<b>To learn more about AI agents, visit our <a href=\"https://www.mongodb.com/resources/basics/artificial-intelligence/ai-agents?tck=multi_agent_manufacturing_blog\" target=\"_blank\">Demystifying AI Agents guide</a>.</b>\n</div>\t","created_at":"2025-02-19T13:54:04.294Z","meta":{"title":"Multi-Agent Collaboration For Manufacturing Operations Optimization","title#localised":true,"description":"Multi-Agent Collaboration for Manufacturing Operations Optimization","description#localised":true},"node_type":"blog_post","node_type_attributes":{},"published_at":"2025-02-19T16:00:00.000Z","status":"published","title":"Multi-Agent Collaboration for Manufacturing Operations Optimization","updated_at":"2025-02-19T15:03:56.581Z","channel_ids":["5d1a9e24659d12dfa24ba28c","653f0042771a22cb798a8006"],"draft":true,"globals":[{"_id":"6001f22ac1f95e773a0e0044","key":"AccountLogin","created_at":"2021-01-15T19:51:06.717Z","props":{"title":"MongoDB Stands with the Black Community, changes","subtitle":"Join MongoDB in supporting organizations that are fighting for racial justice and equal opportunity","cta":{"text":"Join Now","href":"https://mongodbforjustice.mongodb.events/","openInNewWindow":false,"faux":false},"image":{"desktop":"https://account.mongodb.com/static/images/auth/racial_justice_desktop_login.png","mobile":"https://account.mongodb.com/static/images/auth/racial_justice_mobile.png"},"artist":"Artwork by [Lo Harris](http://loharris.com/)"},"updated_at":"2025-02-12T17:04:06.158Z"},{"_id":"601c7536f53e6b3af09679d3","key":"PromoBanner","created_at":"2021-02-04T22:29:10.420Z","props":{"type":4,"typeColor":0,"title":"Join us at AWS re:Invent 2024! Learn how to use MongoDB for AI use cases. Learn more >>","href":"https://www.mongodb.com/events/aws-reinvent?tck=pencil_banner","titleColor":0,"background":1,"disabled":false,"eventBranded":false,"eventBrandedButtonImg":0},"updated_at":"2025-02-12T17:04:06.165Z","translations":{"en-us":{"title":"Join us at AWS re:Invent 2024! Learn how to use MongoDB for AI use cases. Learn more >>","href":"https://www.mongodb.com/events/aws-reinvent?tck=pencil_banner","eventBranded":false,"disabled":false,"type":4,"eventBrandedButtonImg":0,"typeColor":0,"background":1,"titleColor":0},"pt-br":{"title":"Register for MongoDB.live today!","type":0,"titleColor":0},"es":{"title":"Register for MongoDB.live today!"},"it-it":{"title":"Register for MongoDB.live today!"},"de-de":{"title":"Register for MongoDB.live today!"},"fr-fr":{"title":"Register for MongoDB.live today!"},"ja-jp":{"title":"Register for MongoDB.live today!"},"ko-kr":{"title":"Register for MongoDB.live today!"},"zh-cn":{"title":"Register for MongoDB.live today!"}}},{"_id":"60c127b5527761a42edca7bb","key":"TranslationFallbackBanner","created_at":"2021-06-09T20:42:29.953Z","updated_at":"2025-02-12T17:04:06.170Z","props":{"text":"The contents of this page are not currently available in the selected language. However, we are committed to providing as much localized content as possible. Thanks for your patience."},"translations":{"en-us":{"text":"The contents of this page are not currently available in the selected language. However, we are committed to providing as much localized content as possible. Thanks for your patience."},"pt-br":{"text":"O conteúdo desta página não está disponível no idioma selecionado no momento. No entanto, estamos comprometidos em oferecer o máximo de conteúdo localizado possível. Agradecemos a paciência."},"es":{"text":"El contenido de esta página no está disponible actualmente en el idioma seleccionado. Sin embargo, nos comprometemos a proporcionar la mayor cantidad de contenido localizado posible. Gracias por tu paciencia."},"it-it":{"text":"I contenuti di questa pagina non sono attualmente disponibili nella lingua selezionata. Tuttavia, ci impegniamo a fornire il maggior numero possibile di contenuti localizzati. Grazie per la pazienza."},"de-de":{"text":"Die Inhalte dieser Seite sind derzeit nicht in der gewählten Sprache verfügbar. Wir arbeiten jedoch daran, so viele lokalisierte Inhalte wie möglich bereitzustellen. Vielen Dank für Ihre Geduld."},"fr-fr":{"text":"Le contenu de cette page n'est actuellement pas disponible dans la langue sélectionnée. Nous mettons toutefois tout en œuvre pour proposer autant de contenu localisé que possible. Merci de votre patience."},"ja-jp":{"text":"現在、このページの選択した言語のコンテンツはありません。ローカライズされたコンテンツをできるだけ多く提供できるよう取り組んでいます。しばらくお待ちください。"},"ko-kr":{"text":"본 페이지 컨텐츠는 현재 선택된 언어로는 볼 수 없습니다. 가능한 빨리 현지화된 컨텐츠를 제공해 드리기 위해 노력하고 있습니다. 기다려 주셔서 감사합니다."},"zh-cn":{"text":"本页面内容目前不支持所选语言。我们将尽可能提供更多的本地化内容。敬请期待。"}}},{"_id":"616eeecda9b8227a40aa618c","key":"DTRolloutComponent","props":{"targetAudience":"100"},"created_at":"2021-10-19T16:14:05.400Z","updated_at":"2025-02-12T17:04:06.175Z"},{"_id":"653956df6e40c7d11245d051","key":"PencilBanner","props":{"pillText":"Announcement","disabled":false,"bannerTheme":1,"theme":"forestGreen","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more >></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner","items":[{"pillText":"Announcement","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more ></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner "},{"pillText":"NEWS","bannerText":"Learn why MongoDB was named a leader in the 2024 Gartner® Magic Quadrant™ <mark>Read the report ></mark>","href":"https://www.mongodb.com/resources/solutions/use-cases/gartner-mq-cloud-database-2024?tck=hp_pencil_banner"},{"pillText":"Announcement","bannerText":"Introducing Search Demo Builder, the newest addition to the Atlas Search Playground <mark>Learn more ></mark>","href":"https://www.mongodb.com/blog/post/test-out-search-like-never-before-introducing-search-demo-builder?tck=hp_pencil_banner"}]},"created_at":"2023-10-20T17:42:11.857Z","updated_at":"2025-02-12T17:04:06.179Z","translations":{"en-us":{"theme":"forestGreen","pillText":"Announcement","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more >></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner","bannerTheme":1,"disabled":false,"items":[{"pillText":"Announcement","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more ></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner "},{"pillText":"NEWS","bannerText":"Learn why MongoDB was named a leader in the 2024 Gartner® Magic Quadrant™ <mark>Read the report ></mark>","href":"https://www.mongodb.com/resources/solutions/use-cases/gartner-mq-cloud-database-2024?tck=hp_pencil_banner"},{"pillText":"Announcement","bannerText":"Introducing Search Demo Builder, the newest addition to the Atlas Search Playground <mark>Learn more ></mark>","href":"https://www.mongodb.com/blog/post/test-out-search-like-never-before-introducing-search-demo-builder?tck=hp_pencil_banner"}]},"pt-br":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"es":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"it-it":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"de-de":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"fr-fr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ja-jp":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ko-kr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"zh-cn":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"}}}],"header_bg":"https://webassets.mongodb.com/_com_assets/cms/Blog_Category_headers_Applied_02_2000x1400-imabq0foso.jpg","locale":"en","node_ids":["6386788e17e39e7214d6a90b","6785391b9d5c6306f481a6ad","67b5e7f1fa56450414ed1b2a"],"saved_by":{"_id":"5f74b33bd21a1f001470a770","user_name":"evan.alger","permissions":{"roles":["Content Lead"],"node_types":[],"documents":[],"collections":[]}},"updateHistory":[{"time":"2025-02-19T14:13:30.623Z","user_name":"evan.alger","versionMessage":"EA Draft 2/19/25"},{"time":"2025-02-19T14:17:43.629Z","user_name":"evan.alger","versionMessage":"EA Draft 2/19/25"},{"time":"2025-02-19T14:54:32.284Z","user_name":"evan.alger","versionMessage":"EA Draft 2/19/25"},{"time":"2025-02-19T15:03:56.581Z","user_name":"evan.alger","versionMessage":"EA Draft 2/19/25"}],"versionMessage":"EA Draft 2/19/25","content_expires_at":null,"expired_redirect_to":"","form_label":"","header_opacity":"6","hero_cta_link":"","hero_cta_text":"","jira":"","meta_canonical_url":"","meta_description":"Learn how AI-driven collaboration increases efficiency, reduces downtime, and improves operations in manufacturing.","meta_noindex":false,"meta_og_image":"https://webassets.mongodb.com/_com_assets/cms/Meta Image Template (5)-kz8nimkrej.png","meta_title":"Multi-Agent Collaboration for Manufacturing Operations Optimization","region":"","script":"","summary":"","tag_ids":["64920b56224802b72fe19c00"],"twitter_description":"Learn how AI-driven collaboration increases efficiency, reduces downtime, and improves operations in manufacturing.","twitter_image":"https://webassets.mongodb.com/_com_assets/cms/Meta Image Template (5)-kz8nimkrej.png","twitter_title":"Multi-Agent Collaboration for Manufacturing Operations Optimization","updated_by":"5f74b33bd21a1f001470a770","url_type":"alias"}],"view":"post","hideMenu":false,"headerBg":"https://webassets.mongodb.com/_com_assets/cms/8.0Announcement_BlogBespoke_HEADER-o801ctmx47.png","meta":{"noIndex":false,"title":"Top 4 Reasons to Use MongoDB 8.0 | MongoDB Blog","description":"MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions.","image":"https://webimages.mongodb.com/_com_assets/cms/m1pcs16j7dkepfssx-8.0Announcement_BlogBespoke_META.png?auto=format%252Ccompress"},"schema":{"@context":"https://schema.org","@type":"BlogPosting","url":"https://mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0","headline":"Top 4 Reasons to Use MongoDB 8.0","description":"MongoDB’s new 8.0 version is now available. 8.0 delivers 36% better performance than previous versions.","datePublished":"2024-10-02T13:32:00.000Z","dateModified":"2024-11-04T16:50:31.369Z","mainEntityOfPage":{"@type":"WebPage","url":"https://mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0"},"image":["https://webassets.mongodb.com/_com_assets/cms/8.0Announcement_BlogBespoke_HEADER-o801ctmx47.png"],"publisher":{"@type":"Organization","name":"MongoDB","logo":{"@type":"imageObject","url":"https://webassets.mongodb.com/_com_assets/cms/mongodb_logo1-76twgcu2dm.png"}},"author":{"@type":"Person","name":"Scott Amerman"},"inLanguage":"English","articleBody":""},"pencilBanner":{"_id":"653956df6e40c7d11245d051","key":"PencilBanner","props":{"pillText":"Announcement","disabled":false,"bannerTheme":1,"theme":"forestGreen","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more >></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner","items":[{"pillText":"Announcement","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more ></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner "},{"pillText":"NEWS","bannerText":"Learn why MongoDB was named a leader in the 2024 Gartner® Magic Quadrant™ <mark>Read the report ></mark>","href":"https://www.mongodb.com/resources/solutions/use-cases/gartner-mq-cloud-database-2024?tck=hp_pencil_banner"},{"pillText":"Announcement","bannerText":"Introducing Search Demo Builder, the newest addition to the Atlas Search Playground <mark>Learn more ></mark>","href":"https://www.mongodb.com/blog/post/test-out-search-like-never-before-introducing-search-demo-builder?tck=hp_pencil_banner"}]},"created_at":"2023-10-20T17:42:11.857Z","updated_at":"2025-02-12T17:04:06.179Z","translations":{"en-us":{"theme":"forestGreen","pillText":"Announcement","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more >></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner","bannerTheme":1,"disabled":false,"items":[{"pillText":"Announcement","bannerText":"Introducing MongoDB 8.0, the fastest MongoDB ever! <mark>Read more ></mark>","href":"https://www.mongodb.com/blog/post/top-4-reasons-to-use-mongodb-8-0?tck=mdb80_blog_pencil_banner "},{"pillText":"NEWS","bannerText":"Learn why MongoDB was named a leader in the 2024 Gartner® Magic Quadrant™ <mark>Read the report ></mark>","href":"https://www.mongodb.com/resources/solutions/use-cases/gartner-mq-cloud-database-2024?tck=hp_pencil_banner"},{"pillText":"Announcement","bannerText":"Introducing Search Demo Builder, the newest addition to the Atlas Search Playground <mark>Learn more ></mark>","href":"https://www.mongodb.com/blog/post/test-out-search-like-never-before-introducing-search-demo-builder?tck=hp_pencil_banner"}]},"pt-br":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"es":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"it-it":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"de-de":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"fr-fr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ja-jp":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"ko-kr":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"},"zh-cn":{"bannerText":"MongoDB World is back in NYC June 7 - 9!"}}}} </script> </body> </html>

CINXE.COM

Top 4 Reasons to Use MongoDB 8.0 | MongoDB Blog