--- title: MongoDB Atlas (2016-2024): how the cloud-managed-database product became 68% of MongoDB revenue and the company’s growth engine | RGM® url: https://realgrowthmatters.com/learn/case-studies/mongodb-atlas-cloud-database-growth/ updated: 2026-06-10 source_html: https://realgrowthmatters.com/learn/case-studies/mongodb-atlas-cloud-database-growth/ --- - **Story:** MongoDB launched Atlas managed-cloud database June 2016. Atlas grew from small contribution to ~70%+ of MongoDB total revenue by 2024. Stock rose from $24 IPO 2017 to peaks $580+ in 2021 (~25x increase). Atlas represents successful open-source-to-managed-cloud business model transition. - **Why it matters:** MongoDB Atlas is the defining open-source-to-managed-cloud business model case — demonstrating that managed-cloud services produce significantly better economics than open-source enterprise-tier subscriptions. - **Takeaway:** Managed-cloud services offer significantly better economics than open-source enterprise-tier subscriptions because the platform takes on operational complexity that customers value. - **Takeaway:** Managed-cloud transition takes time (Atlas grew from launch 2016 to majority of revenue by 2020-2021). - **Takeaway:** Developer-experience advantages from managed services can drive customer-acquisition independent of price competition with cloud-native alternatives. ## MongoDB Atlas cloud database growth — the four-step story S Situation Situation MongoDB had built popular open-source document database with strong developer adoption through 2009-2015 but enterprise-tier subscription monetization was modest relative to fully-licensed database alternatives. T Task Task Build managed-cloud database service that increases revenue per customer and reduces customer-acquisition friction. A Action Action June 2016 launched MongoDB Atlas on AWS, Azure, Google Cloud. Consumption-based pricing. October 2017 IPO at $24/share. Sustained Atlas product investment 2016-2024 including Atlas Vector Search and AI-integration features. R Result Result Atlas ~70%+ of MongoDB total revenue by 2024. Stock rose from $24 IPO to peaks $580+ in 2021. ~50,000+ customers globally. One of the most successful open-source-to-managed-cloud transitions. ## MongoDB Atlas by the numbers 0 Atlas launched Managed-cloud database service Source: MongoDB announcement 0 MongoDB IPO $24/share NASDAQ: MDB Source: SEC filings ~0%+ Atlas share of revenue 2024 quarter disclosures Source: MongoDB 10-Q $0+ Peak stock November 2021 Source: Public market data ~0+ Customers globally 2024 disclosures Source: MongoDB disclosures 0 Cloud providers AWS, Azure, Google Cloud Source: Atlas info #### Quick facts CompanyMongoDB, Inc. (NASDAQ: MDB) CEODev Ittycheria (since 2014) Founded2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan Open-source product launched2009 as MongoDB IPOOctober 19, 2017 on NASDAQ at $24/share MongoDB Atlas launchedJune 2016 Cloud-hosting partnersAWS, Microsoft Azure, Google Cloud Fiscal 2024 total revenue$1.68 billion (+31% YoY) Fiscal 2024 Atlas revenue~$1.14 billion (~68% of total revenue, +34% YoY) Q4 fiscal 2024 Atlas net new ARR~$117 million (highest single-quarter add in company history; +14% YoY) Customers (end fiscal 2024)47,800+ Customers with >$1M ARR (end fiscal 2024)320 (+24% YoY) Q3 fiscal 2025 customers52,600+ Atlas-mode revenue splitConsumption-based (customers pay for compute, storage, data transfer used) On-premises productMongoDB Enterprise Advanced (the non-Atlas commercial offering) **Honest note** Revenue, customer, and ARR figures are from MongoDB SEC filings (10-K, 10-Q, 8-K). The MongoDB fiscal year ends January 31, so “fiscal 2024” covers calendar Feb 2023 through Jan 2024. The 68% Atlas-share-of-revenue figure is the percentage as of fiscal 2024 reporting; the share has continued to grow through fiscal 2025. The company’s GAAP net income has been negative through most of 2020-2024 because of substantial stock-based compensation, though operating cash flow has been positive and improving. ## How MongoDB got to the cloud transition MongoDB was founded in 2007 (originally as 10gen) by Dwight Merriman, Eliot Horowitz, and Kevin Ryan to build a document-oriented NoSQL database that would solve scale-and-flexibility limitations of traditional relational databases. The open-source MongoDB product was released in 2009 and rapidly gained traction with developers building consumer-internet and mobile applications. By 2014-2015 MongoDB had a massive open-source-user base but the commercial product (MongoDB Enterprise Advanced) was only modestly monetizing that base — developers were running open-source MongoDB themselves on infrastructure they managed. Dev Ittycheria became CEO in 2014 (replacing co-founder Max Schireson). Ittycheria’s strategic insight was that the open-source-vs-commercial split was the wrong frame. Instead of trying to convert open-source users to paid Enterprise Advanced contracts, MongoDB should offer a fully-managed cloud service that provided the same MongoDB experience with operational simplification. Developers could use MongoDB without managing the underlying infrastructure; MongoDB the company would charge for the management. MongoDB Atlas launched in June 2016 with this thesis. ## The Atlas product and the consumption-pricing model MongoDB Atlas runs on AWS, Microsoft Azure, and Google Cloud through partner deployments. The customer experience is: provision a database cluster through Atlas console, MongoDB runs it on the underlying hyperscaler infrastructure, MongoDB handles backups and security and scaling and upgrades, customer pays MongoDB for the service plus the hyperscaler cost. The pricing model is consumption-based — customers pay for compute and storage and data transfer actually used, with no minimum commitments at the lowest tiers. The consumption-pricing model produces favorable expansion economics. Customers can start small (one developer trying Atlas for a project) and scale up consumption as the application grows. MongoDB’s net revenue retention (NRR) was approximately 120%+ through 2022-2024, reflecting the strong existing-customer-expansion dynamic. The same customer-expansion economics that have benefited Snowflake, Datadog, and other consumption-priced infrastructure SaaS have benefited MongoDB. ## The transformation of revenue mix Atlas revenue grew from approximately $20 million in fiscal 2018 (first full year post-launch) to approximately $1.14 billion in fiscal 2024 — a 57x growth in six years. The same period saw the MongoDB Enterprise Advanced (on-premises commercial) revenue grow more modestly. By fiscal 2024 Atlas represented approximately 68% of total revenue, and the trajectory continued in fiscal 2025 with Atlas continuing to gain mix share. The transformation has been substantial for MongoDB’s business model. As a primarily on-premises commercial-license company, MongoDB’s economics resembled traditional enterprise software (per-seat or per-server pricing, multi-year contracts, periodic renewal cycles). As a primarily Atlas-led cloud-managed-service company, MongoDB’s economics resemble modern cloud SaaS (consumption-based pricing, easier customer expansion, lower customer-acquisition friction). The Atlas-led model has produced both higher growth and stronger long-term economics, though it has also required substantial capital investment in the underlying cloud-service operations. ## How RGM thinks about open-source-to-cloud transitions When clients in infrastructure software ask about how to think about open-source-to-cloud business-model transitions, the MongoDB Atlas case is the structural example. Three structural lessons. First, the open-source-software-and-commercial-cloud-service combination produces sustainable economics when the cloud service provides operational value that open-source users are willing to pay for. MongoDB Atlas works because most MongoDB users would rather pay MongoDB to manage their database than manage it themselves; the open-source distribution builds the user base; the cloud service captures revenue. Second, the cloud-service product has to be substantively better than what open-source users could deploy themselves, not just rebrand-the-same. MongoDB invested heavily in Atlas-specific operational features (cross-region replication, automated scaling, security and compliance tooling, point-in-time recovery) that produce real value over self-managed deployments. Third, the consumption-pricing model that supports cloud-service economics is structurally different from the traditional enterprise-license model. The transition requires sales-and-customer-success investment but produces stronger long-run customer economics. The pattern is generalizable to other open-source-to-cloud transitions (Confluent for Kafka, Elastic for Elasticsearch, HashiCorp for various open-source tools, Databricks for Spark, Redis Inc. for Redis). The structural conditions that produced MongoDB’s success are present in many of these cases, though each has variations in cloud-hyperscaler relationships, open-source licensing changes, and competitive dynamics. We tell clients in open-source-foundation companies that the cloud-managed-service transition is typically the highest-impact strategic move, and that the operational investment in building a cloud-service capability is the principal commitment required. ## Frequently asked questions How does MongoDB compete with AWS DynamoDB and Azure Cosmos DB? Both hyperscalers offer their own NoSQL databases that compete with MongoDB. DynamoDB (AWS) is a key-value-and-document database that competes for similar workloads to MongoDB. Cosmos DB (Azure) offers multiple data-model options including a MongoDB-API-compatible mode. The competitive dynamic is intense but MongoDB has maintained share through 2020-2024 because of developer familiarity, broader feature set, and multi-cloud portability (MongoDB Atlas runs on AWS, Azure, and Google Cloud; DynamoDB and Cosmos DB are platform-specific). The platform-portability advantage matters for enterprise customers who want multi-cloud strategies. What about the open-source-licensing changes? In October 2018 MongoDB changed its open-source license from AGPL to SSPL (Server Side Public License) to prevent hyperscalers from offering managed MongoDB services without contributing back to the project. The license change was controversial in the open-source community but has been broadly accepted by users; MongoDB the company has been able to maintain commercial control of the cloud-managed-MongoDB market through the license change. The license dispute pattern has repeated with Elastic, Redis, and other open-source-foundation companies. How much of MongoDB’s growth is AI-driven? A meaningful but not dominant share. MongoDB has invested heavily in AI-related features (vector search via Atlas Vector Search launched 2023, AI-tooling integrations, application-modernization services for AI workloads). The AI-related demand has been a growth-driver in fiscal 2024-2025 but the broader database-platform demand has been the larger contributor. MongoDB CEO Dev Ittycheria has consistently characterized AI as a meaningful future-growth driver rather than the dominant current driver. Will Atlas keep growing at the same rate? Probably at slowing-but-still-strong rates. The 34% YoY growth rate in fiscal 2024 was strong; rates in fiscal 2025 have decelerated modestly but remained above 25%. Sustained 25-35% growth rates over multi-year periods are achievable if MongoDB can continue capturing share from legacy databases (Oracle, SQL Server, IBM DB2), if Atlas penetration into existing-MongoDB users continues, and if AI-driven application development drives meaningful incremental demand. The aggregate database-software market is large enough to support continued strong growth for the multi-year horizon. What is the single takeaway? Open-source-foundation companies can transform into cloud-managed-service businesses when the cloud service provides operational value that open-source users are willing to pay for, when the service is substantively better than self-managed alternatives, and when consumption-pricing supports favorable customer-expansion economics. MongoDB Atlas is the worked example: 6 years from launch to 68% of total revenue and the principal model for subsequent open-source-to-cloud transitions. ### Sources & references - [MongoDB Inc. fiscal 2024 Q4 earnings (SEC 8-K)](https://www.sec.gov/Archives/edgar/data/0001441816/000144181624000045/mdb-13124xex991xrelease.htm) — MongoDB’s primary disclosure of fiscal 2024 full-year results. - [MongoDB Inc. fiscal 2025 Q3 earnings (SEC 8-K)](https://www.sec.gov/Archives/edgar/data/0001441816/000144181624000257/mdb-103124xex991xrelease.htm) — MongoDB’s fiscal 2025 Q3 disclosure. - [MongoDB, Inc. Announces Fourth Quarter and Full Year Fiscal 2024 Financial Results (MongoDB investor relations)](https://investors.mongodb.com/news-releases/news-release-details/mongodb-inc-announces-fourth-quarter-and-full-year-fiscal-2024) — MongoDB’s primary investor-relations disclosure of fiscal 2024 results. - [Why MongoDB Outperformed Its Competitors in the Database Market (Takafumi Endo on Medium)](https://medium.com/@takafumi.endo/mongodbs-ipo-story-a-startup-guide-to-developer-led-growth-e7249b109444) — Industry analysis of MongoDB’s developer-led-growth strategy. - [MongoDB: Gaining Ground in the $96B Database Market (Substack analysis)](https://sergeycyw.substack.com/p/mongodb-gaining-ground-in-the-96b) — Industry analysis of MongoDB’s market position. ## Related [#### All case studies The full case-study library.](/learn/case-studies/)[#### MongoDB open-source to enterprise The broader MongoDB business-model evolution.](/learn/case-studies/mongodb-open-source-to-enterprise/)[#### Snowflake data cloud A comparable cloud-native infrastructure SaaS.](/learn/case-studies/snowflake-data-cloud-saas-growth/)