Company Intelligence

MongoDB Account Intelligence

MongoDB is the leading modern, general-purpose database platform, built on a document-based data model that gives developers flexibility to store and query data naturally. The company's flagship product, MongoDB Atlas, is a fully managed multi-cloud database service available on AWS, Azure, and Google Cloud. MongoDB serves over 50,000 customers across virtually every industry, from startups to enterprises like Toyota, Cisco, and Samsung, enabling them to build and scale applications faster with a developer-centric data platform.

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MongoDB(MDB)

Data & Analytics

Headquarters

New York, NY

Employees

~5,200

Revenue

~$1.9B (FY2025)

Fiscal Year End

January 31

Founded

2007

Key executives at MongoDB

Current leadership team based on public filings and announcements.

Dev Ittycheria

President & CEO

Serge Tanjga

Chief Financial Officer

Sahir Azam

Chief Product Officer

Cedric Pech

Chief Revenue Officer

Recent signals from MongoDB

Key events and changes that sales teams should know about.

Earnings

FY2025 Q3 revenue grew 22% YoY to $529M. Atlas revenue grew 26%, now representing 68% of total revenue, reflecting continued cloud migration momentum.

2025-12

Strategic

Launched MongoDB Atlas Vector Search GA, enabling native vector embeddings alongside operational data for AI/ML application development.

2025-11

Strategic

Expanded Atlas Stream Processing capabilities, allowing real-time data transformation and event-driven architectures natively within the Atlas platform.

2025-10

News

Developer community surpassed 7 million registered users, with MongoDB University certifications growing over 40% YoY.

2025-09

Hiring

Expanded AI/ML engineering teams to accelerate vector search, AI application tooling, and integration with LLM frameworks like LangChain and LlamaIndex.

2025-07

Why this matters for sales teams targeting MongoDB

MongoDB Atlas adoption signals reveal which organizations are modernizing their data infrastructure and moving from legacy relational databases to cloud-native architectures.

As the most popular NoSQL database, MongoDB usage patterns indicate application development velocity and digital transformation priorities at target accounts.

The company's expansion into vector search and AI workloads positions it as a key infrastructure layer for enterprise AI initiatives — tracking MongoDB AI feature adoption flags early-stage AI projects.

With 50,000+ customers and a strong developer community, MongoDB's growth trajectory reflects broader trends in cloud spending and application modernization.

MongoDB's competitive landscape

Key competitors based on market analysis and public filings.

Amazon DynamoDBCouchbaseRedisPostgreSQL

Frequently asked questions about MongoDB

What does MongoDB do?

MongoDB provides a general-purpose database platform built on a flexible document data model. Its flagship product, MongoDB Atlas, is a fully managed cloud database service that handles provisioning, scaling, backups, and security. MongoDB also offers an on-premises version (Enterprise Advanced) and a free community edition.

How does MongoDB make money?

MongoDB generates revenue through two main streams: MongoDB Atlas (cloud-hosted database-as-a-service, billed on consumption) and Enterprise Advanced (on-premises licenses and support subscriptions). Atlas is the primary growth driver, representing approximately 68% of total revenue, with customers paying based on compute, storage, and data transfer usage.

What is MongoDB Atlas?

MongoDB Atlas is a fully managed, multi-cloud database platform available on AWS, Azure, and Google Cloud. It automates database administration tasks like provisioning, patching, scaling, and backups, while offering built-in features like full-text search, vector search, real-time analytics, and stream processing — all accessible through a unified API.

Who are MongoDB's main competitors?

MongoDB competes with both traditional relational databases (PostgreSQL, MySQL, Oracle) and other NoSQL solutions (Amazon DynamoDB, Couchbase, Redis). In the cloud database market, it also faces competition from cloud-native offerings like Amazon Aurora, Google Cloud Spanner, and Azure Cosmos DB. MongoDB differentiates through its flexible document model, multi-cloud portability, and developer experience.

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See leadership changes, strategic initiatives, earnings insights, and buying signals for MongoDB — updated continuously.