MongoDB, Inc. is a developer data platform company that empowers developers to build and innovate using software and data. The company offers a modern, general-purpose database with a document-based architecture, designed for scalability, flexibility, and reliability. MongoDB's products include a cloud-based database-as-a-service and a commercial database server, catering to a wide range of application requirements.
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Subscription - Provides access to MongoDB's database platform, including both self-managed software and the cloud-based MongoDB Atlas service. Subscriptions are available for deployment in the cloud, on-premises, or in hybrid environments.
- MongoDB Atlas - A multi-cloud database-as-a-service offering that includes features like search, time series, and application-driven analytics. Customers are billed based on usage or through annual contracts.
- MongoDB Enterprise Advanced - A proprietary database server for enterprise customers, supporting deployment in various environments and sold through direct and indirect sales channels.
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Services - Offers consulting and training services to help customers optimize their use of MongoDB's database platform.
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| Name | Position | External Roles | Short Bio | |
|---|---|---|---|---|
Dev Ittycheria ExecutiveBoard | President and CEO | Lead Independent Director at Datadog, Inc. | Dev Ittycheria joined MongoDB as President and CEO in September 2014. He has led MongoDB to become a leading database platform company. He holds a B.S. in Electrical Engineering from Rutgers University. | View Report → |
Cedric Pech Executive | President, Field Operations | None | Cedric Pech joined MongoDB in February 2019 as Chief Revenue Officer and was promoted to President, Field Operations in December 2024. He has been instrumental in scaling MongoDB's sales organization. | |
Srdjan ("Serge") Tanjga Executive | Interim Chief Financial Officer | None | Serge Tanjga joined MongoDB in May 2019 and became Interim CFO in February 2025. He has played a significant role in MongoDB's financial operations and business strategy. | |
Ann Lewnes Board | Director | Board of Directors at Sundance Institute, Vice Chair of the Board of Trustees at Lehigh University | Ann Lewnes joined MongoDB's board in December 2023. She has extensive experience in corporate strategy and marketing, having served as CMO at Adobe Inc.. | |
Archana Agrawal Board | Director | President of Intercom | Archana Agrawal has been a director at MongoDB since August 2019. She has 19 years of experience in the software industry and previously served as CMO at Airtable. | |
Charles M. Hazard, Jr. Board | Director | Co-founder and General Partner at Flybridge Capital Partners | Charles M. Hazard, Jr. has been a director at MongoDB since October 2009. He has extensive investment and board experience. | |
Francisco D’Souza Board | Director | Managing Partner at Recognize Partners, Tech-Focused International Advisory Board Member at Banco Santander | Francisco D’Souza has been a director at MongoDB since November 2019. He co-founded Cognizant Technology Solutions and served as its CEO, overseeing significant growth. | |
Hope Cochran Board | Director | Managing Director at Madrona Venture Group, Board Member at Hasbro, Inc. | Hope Cochran has been a director at MongoDB since December 2016. She has a strong financial and operating background in the technology sector. | |
Roelof Botha Board | Director | Managing Partner at Sequoia Capital, Board Member at Natera, Inc., Block, Inc., Unity Software, Inc., 23andMe | Roelof Botha has been a director at MongoDB since December 2013. He has extensive knowledge of the technology industry and serves on several boards. | |
Tom Killalea Board | Chairperson of the Board | Board Member at Akamai Technologies, Inc., Capital One Financial Corp., Satellogic, Inc. | Tom Killalea has been a director at MongoDB since December 2015 and Chairperson since July 2019. He has a background in information security and infrastructure from his time at Amazon. |
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Atlas consumption growth has been lower year-over-year and consumption remains below prior periods ; what specific steps are you taking to address the deceleration in Atlas growth, and when do you expect to see a meaningful improvement?
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You mentioned reallocating investments from the mid-market to focus on the enterprise channel ; how might this shift impact your customer acquisition in the mid-market, and what risks do you see in potentially neglecting this segment?
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The non-Atlas revenue benefited significantly from over $15 million higher multiyear license deals in Q3 ; can you clarify how sustainable this boost is and what we should expect for non-Atlas revenue growth going forward?
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Given that the fiscal '24 cohorts of workloads are growing slower and the fiscal '25 cohorts are yet to show improved performance ; how confident are you in the effectiveness of the changes made to improve workload quality, and what metrics are you monitoring to assess this?
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With Michael Gordon's departure after nearly a decade as CFO ; how do you plan to ensure continuity in financial strategy and investor confidence during this leadership transition?
Research analysts who have asked questions during MongoDB earnings calls.
Raimo Lenschow
Barclays
5 questions for MDB
Bradley Sills
Bank of America
4 questions for MDB
Brad Reback
Stifel
4 questions for MDB
Jason Ader
William Blair & Company
4 questions for MDB
Sanjit Singh
Morgan Stanley
4 questions for MDB
Brent Bracelin
Piper Sandler Companies
3 questions for MDB
Rishi Jaluria
RBC Capital Markets
3 questions for MDB
Tyler Radke
Citigroup Inc.
3 questions for MDB
Andrew Nowinski
Wells Fargo
2 questions for MDB
Eric Heath
KeyBanc Capital Markets
2 questions for MDB
Ittai Kidron
Oppenheimer & Company
2 questions for MDB
Karl Keirstead
UBS
2 questions for MDB
Kash Rangan
Goldman Sachs
2 questions for MDB
Michael Cikos
Needham & Company
2 questions for MDB
Mike Cikos
Needham & Company, LLC
2 questions for MDB
Alex Zukin
Wolfe Research LLC
1 question for MDB
Kasthuri Rangan
Goldman Sachs
1 question for MDB
Patrick Colville
Scotiabank
1 question for MDB
Patrick Walravens
Citizens JMP
1 question for MDB
Rudy Kessinger
D.A. Davidson & Co.
1 question for MDB
Siti Panigrahi
Mizuho Securities
1 question for MDB
Theodor Thun
Morgan Stanley
1 question for MDB
William Kingsley Crane
Canaccord Genuity
1 question for MDB
William Power
Baird
1 question for MDB
Competitors mentioned in the company's latest 10K filing.
| Company | Description |
|---|---|
The company primarily competes with established legacy database software providers such as this competitor and others similar to it. These competitors have advantages such as longer operating histories, more established relationships with customers, and significantly greater resources. | |
This competitor is one of the established legacy database software providers that the company primarily competes with. They have advantages like stronger brand recognition and broader global distribution. | |
As one of the established legacy database software providers, this competitor has advantages over the company, including larger intellectual property portfolios and the ability to bundle competing products with other offerings. | |
The company competes with public cloud providers such as this one, which offer database functionality. These competitors may offer products at low or no cost to enhance customer relationships. | |
Google Cloud Platform (GCP) | This public cloud provider offers database functionality and is a competitor. Such competitors can respond more quickly to new opportunities and devote greater resources to product development. |
As a public cloud provider offering database functionality, this competitor has advantages like broader offerings and the ability to withstand reductions in technology spending. |
Recent press releases and 8-K filings for MDB.
- MongoDB, Inc. hosted an Investor Day on September 17, 2025, to discuss strategies for sustainable growth and long-term shareholder value.
- The company reported strong Q2 FY26 results, including 29% Atlas growth and 83% cash conversion, and subsequently raised its full-year FY26 guidance for Total Revenue to $2,340 - $2,360 million and EPS to $3.64 - $3.73.
- MongoDB emphasized its AI product strategy, noting that approximately 30% of Atlas Annual Recurring Revenue (ARR) is from customers with at least one AI use case, and introduced the Application Modernization Platform (AMP).
- The company also outlined long-term financial targets (3-5 years) of high teens average revenue growth, 20%+ operating margin, and 80%+ Free Cash Flow (FCF) Conversion.
- MongoDB has achieved significant growth, with Wall Street estimating $2.4 billion in revenue this year, up from under $40 million eleven years ago, and its Atlas cloud service now accounts for 74% of revenue.
- The company operates in a $100 billion market growing at 13% annually, where it holds only a 2% share, with AI identified as a significant tailwind expected to accelerate market growth.
- Q2 performance included 18% revenue growth and a 14% operating margin, with Atlas growing 28% in the first half and mid-20s guidance for the second half.
- MongoDB is strategically investing in developer awareness and R&D, including its new AMP offering to facilitate migrations from legacy relational databases, leveraging its native JSON architecture for AI workloads.
- MongoDB announced the integration of search and vector search capabilities into its Community Edition and Enterprise Server, making features previously exclusive to MongoDB Atlas available for local, on-premises, and self-managed deployments.
- These capabilities are now in public preview for development and testing as of September 17, 2025, enabling developers to build AI applications on any infrastructure.
- The integration aims to simplify AI application development by embedding search directly into the database, reducing the need for external search engines and associated operational overhead.
- MongoDB operates in a massive and growing market, projected to expand from $105 billion in 2025 to $150 billion by 2028, with an expected ~13% CAGR.
- AI is identified as a significant tailwind and incremental growth driver, with approximately 30% of Atlas ARR derived from customers with at least one AI use case. The company also introduced its new Application Modernization Platform (AMP), expected to drive incremental growth and offer substantial improvements in migration efficiency.
- For Q2 FY26, MongoDB reported strong performance with 29% Atlas growth, a 15% operating margin, and 83% cash conversion.
- The company raised its full-year FY26 guidance, now expecting total revenue between $2,340 million and $2,360 million (representing 17% - 18% year-over-year growth) and diluted EPS between $3.64 and $3.73.
- MongoDB, Inc. announced the launch of MongoDB AMP, an AI-powered Application Modernization Platform, designed to help enterprises transform legacy applications into modern, scalable services.
- The platform aims to address the burden of complex legacy applications and technical debt, which is estimated at almost $4 trillion in the US, by speeding up code transformation by 10x or more and overall modernization projects by 2-3 times.
- Early customer successes include Bendigo Bank, which reduced migration development time by 90% and application test cases from over 80 hours to five minutes, and Lombard Odier, which migrated code up to 60 times faster.
- MongoDB AMP is now available.
- MongoDB views AI as a tailwind for its business, highlighting product readiness through vector search and the strategic Voyage AI acquisition, which provides top-rated embedding models to connect proprietary data to LLMs.
- The company attributes its recent re-acceleration in growth to internal execution, including tweaks to its go-to-market strategy to focus on enterprises and drive higher ARR, alongside the success of its product-led growth model.
- MongoDB sees a significant opportunity in PostgreSQL migrations, as enterprises move to MongoDB for applications requiring more sophisticated data models and better performance, citing examples of a bank and an EV company.
- Atlas is identified as the growth engine with a large market opportunity, and the company anticipates continued margin expansion by growing operating expenses slower than revenue growth.
- MongoDB views AI as a tailwind and is prepared with product enhancements like vector search and the Voyage AI acquisition, which provides top-rated embedding models crucial for connecting private data to LLMs.
- The Voyage AI acquisition, while currently small in revenue, is expected to drive future monetization through usage-based models via serverless API, marketplaces, and integration with Atlas, significantly increasing data and compute usage.
- The recent growth re-acceleration is primarily attributed to internal "blocking and tackling," including a tweaked go-to-market strategy focusing on enterprises and larger workloads, and the success of their product-led growth and self-serve model, rather than AI being a major current growth driver.
- MongoDB identifies a significant opportunity in migrating customers from PostgreSQL, citing its limitations with sophisticated data models, performance at scale, and handling unstructured data, particularly for AI applications.
- Atlas is projected to have a substantial runway in a large market, with gross margins expected to remain in the mid-70% range, and the company plans incremental investments to drive ROI, leading to continued margin expansion.
- MongoDB views AI as a tailwind for its business and has acquired Voyage AI to enhance its embedding models, which connect proprietary data to LLMs. Voyage AI currently serves 300 discrete customers with small revenue, and its monetization will be usage-based through a serverless API, marketplaces, and integration with Atlas.
- The recent re-acceleration in MongoDB's growth is primarily attributed to core business execution, including a refined go-to-market strategy focused on enterprises and larger workloads, and improved product-led growth, rather than AI being a significant growth driver yet.
- Atlas is identified as MongoDB's primary growth engine, operating in a large market with substantial runway, and is projected to maintain gross margins in the mid-70% range.
- MongoDB observes increasing opportunities for customers to migrate from PostgreSQL due to its limitations in scaling and handling sophisticated or unstructured data models, particularly for AI applications, positioning MongoDB as a more flexible solution.
- MongoDB views AI as a tailwind for its business, having acquired Voyage AI to integrate top-rated embedding models for connecting private data to LLMs, with monetization expected through usage-based models and Atlas integration.
- The company's recent growth re-acceleration is attributed to internal go-to-market strategy adjustments, focusing on enterprise customers and larger workloads, and the success of its product-led growth model, rather than AI being a primary current growth driver.
- MongoDB is observing increasing migrations from PostgreSQL due to its limitations in handling sophisticated, unstructured data models and scaling for modern and AI-driven applications.
- Atlas, currently a $1.7 billion ARR business, is projected to remain a significant growth engine with substantial market opportunity and strong profit potential at mid-70% gross margins.
- MongoDB reported a strong quarter, with Atlas growth reaccelerating to 29%, primarily driven by internal execution including a successful shift of go-to-market resources upmarket and improved self-serve business.
- While AI did not significantly impact recent performance, MongoDB is attracting AI-native companies as customers and is well-positioned for future AI-enabled applications and inference workloads.
- The company highlights its competitive advantages over relational databases like Postgres, offering a native JSON document database, distributed system design, and flexible data model, which is leading to migrations from Postgres due to scaling challenges.
- CFO Mike Barry stated a focus on driving margin expansion through operational efficiencies across go-to-market, R&D, and back office, while emphasizing continued investment in growth.
- MongoDB's recent acquisition of Voyage (embedding models) enhances its AI capabilities, providing high-quality embeddings crucial for LLMs to reason about private data, and is expected to drive future cross-sell opportunities.