- Specialization
- Data Engineering
- Business
Software Applicationsand 2 more business valuesLess
- Consulting
- Professional Services
- Market
Software Developmentand 1 more market valuesLess
- Cross Industry
- Ecosystem
- Not classified
- Customers
Developersand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Not classified
- Business
- Software Applications, Consulting, Professional Services
- Specialization
- Data Engineering
- Market
- Software Development, Cross Industry
- Customers
- Developers, Enterprises
- Delivery models
- Hosted Software, On Premise Software, Professional Services, Training
- Revenue models
- Subscription, Services Fees
- Listing status
- Not classified
- Latest equity round
- Series E Plus
- Reported funding amount
- Not classified
About
MongoDB builds a modern developer data platform centered on a general-purpose document database that organizations can deploy in cloud, on-premises, or hybrid environments. It sells to developers and organizations building and modernizing applications, differentiating through flexible document-based architecture, multi-cloud deployment, and integrated platform services.
Market
MongoDB competes in the cloud and distributed database-platform market for modern applications, spanning managed cloud databases and globally distributed operational workloads. It differentiates through a unified, developer-oriented platform that combines operational data, search, real-time analytics, vector and AI retrieval, and multi-cloud deployment, reducing the need to stitch together separate database and AI-data services.
MongoDB targets software development teams and engineering-led organizations building modern applications, from AI-native startups to large enterprises across almost every industry. Its strongest enterprise profile includes organizations with mission-critical workloads, substantial data scale, and developers or platform teams seeking a unified managed database and application-data platform.
At a Glance
Problem
Modern software teams need to build and update applications quickly, but legacy relational systems and rigid schemas make data changes expensive, slow, and disruptive. MongoDB identifies the core pain as technical debt, costly legacy infrastructure, downtime during schema changes, and difficulty supporting modern workloads that require flexible, real-time data. Its main wedge is application modernization: helping enterprises move legacy applications toward more adaptable architectures while enabling developers to iterate without downtime. MongoDB cites customer examples in which code transformation was accelerated by 10x or more and application testing was reduced from more than 80 hours to five minutes.
The highest-value use cases are applications whose data structures change frequently or must respond in real time, including AI-powered applications, payments, personalized retail experiences, search, and stream-processing workloads. In these settings, the economic benefit is not simply storing data; it is reducing engineering friction, modernization cost, operational disruption, and the time required to deliver new application capabilities.
Product / Service
MongoDB provides a document database and broader modern data platform. Its document model maps application objects to documents, while a flexible schema lets developers evolve data structures and migrate between schemas without downtime. MongoDB's unified Query API supports modern data types and workloads such as arrays, geospatial and time-series data, full-text search, vector search, and stream processing on one platform.
The primary delivery model is MongoDB Atlas, a cloud database platform available across AWS, Google Cloud, and Azure in more than 125 regions. Atlas combines operational data, vectors, and stream processing, and is designed to provide scalable, secure infrastructure without customers having to operate the underlying database themselves. MongoDB also sells Enterprise Advanced for self-managed deployments, including on-premises, private-cloud, and hybrid environments. The company generates revenue primarily through subscriptions to customers using its cloud-based platform.
Market
MongoDB competes in cloud database management and the broader modern data-platform and document-database markets. Its differentiation is the combination of a developer-oriented document model, flexible schema, horizontal scalability, and an increasingly broad set of capabilities for search, vectors, AI, and streaming. MongoDB's stated competitors include established database software providers such as IBM, Microsoft, and Oracle.
MongoDB is an established, revenue-generating company rather than a pre-revenue startup. For fiscal 2026, it reported $2.46 billion in total revenue, up 23% year over year, with Atlas revenue up 29% for the full year. It added 2,700 customers in the fourth quarter and had more than 65,200 total customers as of January 31, 2026; Atlas accounted for $1.808 billion of fiscal-year subscription revenue, indicating that the cloud platform is the company's principal growth engine.
Founders & Leadership
Funding History
Flybridge Capital Partners
Sequoia Capital
Sequoia Capital, Flybridge Capital Partners, Union Square Ventures
In-Q-Tel
Red Hat, Intel
Unnamed global financial services company, T. Rowe Price Associates
Unnamed sovereign wealth fund
In-Q-Tel
Recent News
Emergent and MongoDB expanded their partnership on September 30 with a MongoDB Atlas integration for Emergent Pro and Enterprise customers. Those customers can connect their existing Atlas organizations and run Emergent-built apps on infrastructure they manage, with Emergent’s agents provisioning and managing the projects and clusters.
MongoDB launched Atlas Agent Engine, a unified execution, memory, and governance layer for production AI agents. The service was available in public preview, with the announcement highlighting support for different models, frameworks, and clouds.
MongoDB announced MongoDB 9.0 and Atlas Infinite at its Investor Day. MongoDB 9.0 was generally available, while Atlas Infinite—a new elastic deployment option within Atlas—was in public preview.
MongoDB and Cognition announced Devin for MongoDB Modernizations, connecting Devin to MongoDB’s Application Modernization Platform to help automate enterprise application modernization and migration to Atlas. The offering was available to MongoDB and Cognition customers.
MongoDB said Chirantan “CJ” Desai stepped down as president and CEO, effective immediately, to pursue a senior role at Meta Platforms. The board appointed former CEO Dev Ittycheria as interim president and CEO and began a search for a permanent successor.
MongoDB announced that Richard Scott joined the company as Senior Vice President, Asia Pacific and Japan. Based in Sydney, Scott will lead MongoDB’s regional strategy as enterprises in the region move AI initiatives from pilot to production.
MongoDB launched its fully hosted Atlas Managed MCP Server, allowing developers to connect AI coding tools to live MongoDB Atlas data without operating additional infrastructure. The launch added native access through Claude Code, Codex, Grok Build, and Devin, with governance through existing Atlas credentials and access controls.
MongoDB announced the Atlas Managed MCP Server, a fully hosted connection that lets coding agents access live operational data in MongoDB Atlas without additional infrastructure. The service supports integrations with Claude Code, Codex, Grok Build, and Devin.
Temporal published a post describing MongoDB Atlas and Temporal working together on durable retrieval-augmented generation and AI-agent systems. The joint reference architecture assigns Atlas data, embeddings, vector search, and agent memory, while Temporal provides durable workflow execution and orchestration.
MongoDB announced that MongoDB Atlas now delivers industry-leading context retrieval with precision accuracy. The update gives AI applications and agents real-time context from live operational data for more accurate retrieval.
MongoDB appointed Pablo Stern as Chief Product Officer for AI and Emerging Products and Ben Cefalo as Chief Product Officer for Core Products. The expanded leadership structure places both executives, along with CTO Jim Scharf, under CEO CJ Desai.
MongoDB appointed Chirantan “CJ” Desai President and CEO, effective November 10, 2025, succeeding Dev Ittycheria. Ittycheria remained on the board and became an advisor to support the transition.
Active Roles
402Business Model
MongoDB primarily monetizes subscriptions to its database software and platform offerings. It also generates revenue from post-contract support, training, and consulting services, with products deployable in cloud, on-premises, or hybrid environments.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
In-Q-Tel; Sequoia Capital; New Enterprise Associates; Goldman Sachs; Red Hat; Intel; Altimeter Capital; Salesforce Ventures; Union Square Ventures; Flybridge Capital Partners