www.mongodb.com
Open in
urlscan Pro
2600:9000:2744:d600:7:7859:3840:93a1
Public Scan
Submitted URL: https://web98.investors.mongodb.com/
Effective URL: https://www.mongodb.com/
Submission: On July 17 via api from US — Scanned from DE
Effective URL: https://www.mongodb.com/
Submission: On July 17 via api from US — Scanned from DE
Form analysis
1 forms found in the DOMGET https://www.mongodb.com/search
<form role="search" method="GET" action="https://www.mongodb.com/search" class="css-1c69emu">
<div class="css-87svlz">
<div class="css-36i4c2"><input type="text" placeholder="Search products, whitepapers, & more..." value="" class="css-etrcff"></div>
<div class="css-v2nqhr">
<div class="css-aef77t"><button role="button" type="button" class="css-14k7wrz"><span data-testid="selected-value" class="css-6k4l2y">General Information</span>
<div class="css-109dpaz"><svg data-testid="icon" width="16" height="9" viewBox="0 0 16 9" fill="none" xmlns="http://www.w3.org/2000/svg" class="css-1yzkxhp">
<path d="M1.06689 0.799988L8.00023 7.73332L14.9336 0.799988" stroke-linecap="round" stroke-linejoin="round" class="css-1tlq8q9"></path>
</svg></div>
</button>
<div class="css-hn9qqo">
<ul data-testid="options" role="listbox" class="css-ac9zo2">
<li role="option" tabindex="0" class="css-11dtrvq">General Information</li>
<li role="option" tabindex="0" class="css-11dtrvq">Documentation</li>
<li role="option" tabindex="0" class="css-11dtrvq">Developer Articles & Topics</li>
<li role="option" tabindex="0" class="css-11dtrvq">Community Forums</li>
<li role="option" tabindex="0" class="css-11dtrvq">Blog</li>
<li role="option" tabindex="0" class="css-11dtrvq">University</li>
</ul>
</div>
</div><input type="hidden" id="addsearch" name="addsearch" value=""><span class="css-1myrko"><button type="submit" tabindex="0" data-track="true" class=" css-13l1z36"><img alt="search icon"
src="https://webimages.mongodb.com/_com_assets/cms/krc3hljsdwdfd2w5d-web-actions-search.svg?auto=format%252Ccompress" width="18" height="18" class="css-r9fohf"></button></span>
</div>
</div>
</form>
Text Content
BLOGAtlas Vector Search voted most loved vector database in 2024 Retool State of AI report — Read more >> Blog Atlas Vector Search voted most loved vector database in 2024 Retool State of AI report Read more >> NEW Develop your AI future on MongoDB Start here >> Blog Announced at MongoDB.local NYC 2024: A recap of all announcements and updates — Read more >> General Information * General Information * Documentation * Developer Articles & Topics * Community Forums * Blog * University * Products Platform AtlasBuild on a developer data platform Platform Services DatabaseDeploy a multi-cloud databaseSearchDeliver engaging search experiencesVector SearchDesign intelligent apps with gen AIStream ProcessingUnify data in motion and data at rest Self Managed Enterprise AdvancedRun and manage MongoDB yourselfCommunity EditionDevelop locally with MongoDB Tools CompassWork with MongoDB data in a GUIIntegrationsIntegrations with third-party servicesRelational MigratorMigrate to MongoDB with confidence View All ProductsExplore our full developer suitearrow-right Build with MongoDB Atlas Get started for free in minutes Sign Up Test Enterprise Advanced Develop with MongoDB on-premises Download Try Community Edition Explore the latest version of MongoDB Download * Resources Documentation Atlas DocumentationGet started using AtlasServer DocumentationLearn to use MongoDBStart With GuidesGet step-by-step guidance for key tasks Tools and ConnectorsLearn how to connect to MongoDBMongoDB DriversUse drivers and libraries for MongoDB Resources HubGet help building the next big thing with MongoDBarrow-right Connect Developer CenterExplore a wide range of developer resourcesCommunityJoin a global community of developersCourses and CertificationLearn for free from MongoDBWebinars and EventsFind a webinar or event near you * Solutions Use cases Artificial IntelligenceEdge ComputingInternet of ThingsMobilePaymentsServerless Development Industries Financial ServicesTelecommunicationsHealthcareRetailPublic SectorManufacturing Solutions LibraryOrganized and tailored solutions to kick-start projectsarrow-right Developer Data Platform Accelerate innovation at scale Learn morearrow-right Startups and AI Innovators For world-changing ideas and AI pioneers Learn morearrow-right Customer Case Studies Hear directly from our users See Storiesarrow-right * Company CareersStart your next adventureBlogRead articles and announcementsNewsroomRead press releases and news stories PartnersLearn about our partner ecosystemLeadershipMeet our executive teamCompanyLearn more about who we are Contact Us Reach out to MongoDB Let’s chatarrow-right Investors Visit our investor portal Learn morearrow-right * Pricing Eng SupportSign InTry Free menu-vertical MONGODB ATLAS Loved by developers. Built for Time Series Data You don't need a separate database to support transactions, rich search, or gen AI. The world's most popular document database is now the world's most versatile developer data platform. Start Free Learn More 47k+ Customers → 118 Regions across AWS, Azure, and Google Cloud → 175K+ Developers join every month → #1 Most used modern database → DEVELOP YOUR AI FUTURE ON MONGODB Easily build AI applications with unified data on MongoDB’s industry-leading developer data platform. Start Here Events near you MONGODB UNIVERSITY The new learning experience makes picking up knowledge, developing a fundamental MongoDB skill set, and getting certified both quick and easy.Explore Now WORKING WITH DATA DOESN’T NEED TO BE HARD Our guiding principle is to help developers solve their data challenges. Here’s what you can do with MongoDB. BUILD FASTER Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. SCALE FURTHER Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. SLEEP BETTER Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. FULLY MANAGED IN THE CLOUD Start in seconds and scale to millions with our cloud services ATLAS MULTI-CLOUD DEVELOPER DATA PLATFORM An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Learn more MOBILE REAL-TIME DATA AT THE EDGE Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Learn more SELF-MANAGED IN ANY ENVIRONMENT Run MongoDB anywhere, from your laptop to your data center COMMUNITY EDITION DATABASE SOFTWARE USED BY MILLIONS Our distributed document database is where it all began. Free forever with seamless migration to Atlas. Learn more ENTERPRISE ADVANCED ENTERPRISE SOFTWARE AND SUPPORT The best way to run MongoDB yourself. Drive operational efficiency and security. Learn more Built by developers, for developers The document data model maps to how you think and code. Model Escape from rigid, tabular data structures with flexible documents that map directly to objects in code. Incorporate nested objects, vector embeddings, geospatial and time-series measurements into a data model optimized for performance, compute cost, and productivity. Query Use an expressive, developer-native query API to work with data anyway your application needs. Retrieve and modify documents. Prompt LLMs with semantic search across vectors. Aggregate, transform and analyze your data in place, without having to ETL it to another system Optimize Optimize queries, react instantly to database changes, and generate materialized views on-demand. MongoDB makes it easy to receive and process millions of requests per day with no change in performance. Javascript Python Java C# 0 // Query on embedded documents 1 2 const cursor = db.collection('orders').aggregate([{ 3 "$vectorSearch": { 4 "index" :"default", 5 "path" :"name_embedding", 6 "queryVector" : query_embedding, 7 "numCandidates" :150, 8 "limit" :10 9 } 10 }]); 11 12 // Process multiple documents and return 13 // computed results with aggregation operations 14 15 db.customers.aggregate([ 16 //Stage 1: Vector Search for Jack Beanstalk 17 { 18 "$vectorSearch": { 19 "index": "default", 20 "path": "name_embedding", 21 "queryVector": query_embedding, 22 "numCandidates": 150, 23 "limit": 10, 24 "customer.name": "Jack Beanstalk" 25 }, 26 //Stage 2: Unwind items array 27 { 28 '$unwind': '$items' 29 }, 30 //Stage 3: Group remaining documents by item name and sum 31 { 32 '$group': { 33 '_id':'$items.name', 34 'totalOrders': { 35 '$sum': '$items.quantity' 36 } 37 } 38 } 39 ]) 40 Documentation Docs Reference manuals, articles, and code samples — all the technical documentation you need to deploy, configure, and run MongoDB. Documentation Developer Center The latest MongoDB tutorials, videos, and code examples shown in the language of your choice. Start Building Community Forum Join 175K+ developers on our Community Forums to get advice, learn tips and tricks, and share your projects and experience. Join the Community Don’t just take our word for it Find out why MongoDB is the industry’s most used modern database for the 5th year in a row. “The granular updates you can perform on nested @MongoDB data is pretty amazing.” Charlie Lu @theCHARlister Software Engineer; Typescript “MongoDB is my favorite. Atlas is an amazing product and service” John Hanley @NeoPrimeAWS Enterprise Architect and SWE; PHP, Python, C# and Swift "Finally achieved my MongoDB Certification from @MongoDB. The courses are amazingly interactive. Loved every second of it💪🥇” Steven Oketch @iSteve_zion Web Developer; MERN Stack MongoDB Atlas Learn about the platform The developer data platform for any use case. Learn about the platform Vector SearchStream ProcessingOperationalTransactionalText SearchAnalyticalEdgeGraphGeospatial Vector Search Stream Processing Operational Transactional Text Search Analytical Edge Graph Vector Search Vector Search Stream Processing Operational Transactional Text Search Analytical Edge Graph Vector Search Use Cases MongoDB Atlas integrates operational and vector databases in a single, unified platform. Use vector representations of your data to perform semantic search, build recommendation engines, design Q&A systems, detect anomalies, or provide context for gen AI Apps. Learn More Documentation LOVED BY DEVELOPERS, TRUSTED BY ENTERPRISES View all customer stories 10 MINUTES to generate reports instead of 12 weeks 50% of the world's insulin production Read Case Study HEALTHCARE “We’ve reduced the time taken to create Clinical Study Reports from 12 weeks to 10 minutes, with higher quality outputs and a fraction of the team. In terms of value, each day sooner a medicine gets to market can add around $15 million in revenue to the company.” Read Case Study MongoDB for Healthcare 70+ countries served 100M+ items in product catalog Read Case Study ARTIFICIAL INTELLIGENCE “We needed to move to an up-to-second real-time recommendations system, and that is what MongoDB Atlas Vector Search enabled us to do.” Read Case Study MongoDB for Artificial Intelligence 30% reduction in operating costs 18K+ global customers Read Case Study SOFTWARE “Atlas Vector Search was the solution to our problems. It simplifies a lot of the work that goes into making Okta Inbox super user friendly for customers.” Read Case Study MongoDB for Artificial Intelligence 65M+ daily events processed 40% more resource efficient Read Case Study MANUFACTURING “We expect to process 20 times as many events in just two years’ time – that’s two billion per day and Atlas is well placed to handle that massive increase without a problem.” Read Case Study MongoDB for Manufacturing 32 applications migrated in 30 days 2M+ customers supported Read Case Study FINANCIAL SERVICES “The fact that MongoDB Atlas supported the three major hyperscalers [Google Cloud, AWS, Azure] helped with portability and supports a multi-cloud future for us. It made it really easy for us to choose MongoDB because we didn’t have to then hedge our bets on a particular cloud provider or a particular process — we could be flexible.” Read Case Study MongoDB for Financial Services FINANCIAL SERVICES DE-RISK YOUR MODERNIZATION JOURNEY Iterative modernization enables financial firms to innovate while modernizing — with immediate gains and less risk.Learn More USE CASES From legacy modernization to IOT data to single view, learn how you can use MongoDB. View all use cases INDUSTRIES MongoDB helps remove barriers to innovation for organizations in any industry. View our solutions WORKS SEAMLESSLY WITH YOUR TECH STACK MongoDB integrates with 100+ of your favorite technologies Explore our ecosystem Choose your path START HERE Build the next big thing Create the applications of tomorrow with less complexity than ever before. Start Free more information The Developer Data Platform Documentation Solutions Library Pricing Contact Us English * English * Português * Español * 한국어 * 日本語 * Italiano * Deutsch * Français * 简体中文 © 2024 MongoDB, Inc. About * Careers * Investor Relations * Legal * GitHub * Security Information * Trust Center * Connect with Us Support * Contact Us * Customer Portal * Atlas Status * Customer Support Deployment Options * MongoDB Atlas * Enterprise Advanced * Community Edition © 2024 MongoDB, Inc. Contact Us CHAT WITH SALES Talk to us for more information about features, sizing, support plans, and consulting. Chat Now PRODUCT SUPPORT Having trouble logging in? Looking to report a bug? We are here to help. Chat With Support