MongoDB

Updated Jun 2026

Updated 12 days ago Reviewed by 7wData

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Provides a cloud and self-managed document database platform with integrated vector search and streaming for operational AI applications.

MongoDB is a document database founded in 2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan—all engineers from DoubleClick—who started with the thesis that flexible schemas and horizontal scaling would power a new generation of applications. Spun out from 10gen and publicly listed on NASDAQ since 2017, MongoDB operates as a unified data platform combining operational databases, vector search, and stream processing. The company's flagship product is MongoDB Atlas, a cloud-native database-as-a-service that generated $628.3 million in Q3 fiscal 2026, representing 19 percent year-over-year revenue growth overall and 30 percent growth for Atlas alone, which accounts for 75 percent of total revenue and has exceeded a $2 billion annualized run rate.

The customer base numbers 62,500 total, with 2,694 customers generating $100,000+ in annualized recurring revenue. MongoDB's strategic pivot toward AI in 2025 and 2026 has been marked by the $220 million acquisition of Voyage AI in February 2025, integrating state-of-the-art embedding and reranking models to reduce hallucinations in generative AI applications. Vector search adoption nearly doubled year-over-year as organizations built AI agents; a 2025 IDC survey found 74 percent of organizations planning to deploy integrated vector databases for agentic AI workflows.

In November 2025, MongoDB appointed Chirantan Desai as CEO, succeeding Dev Ittycheria after 11 years. The company gained Gartner Magic Quadrant Leader status for the fourth consecutive year in cloud database management systems. Notable customers across verticals include Toyota Connected, Coinbase, Samsung, Ford, Zoom, Victoria's Secret, and Novo Nordisk. Profitability improved in fiscal 2026, with non-GAAP operating income of $123.1 million and operating cash flow jumping to $143.5 million from $37.4 million year-over-year.

Products by MongoDB

MongoDB Atlas MongoDB Atlas is a managed, cloud-native document database built for operational workloads and real-time applications. Deployed across AWS, No reviews yet Be the first to review →

Who buys this

Financial services and fintech firms building payment and trading infrastructure with real-time data needs
Automotive and manufacturing companies managing connected vehicle data and IoT telemetry at scale
Retail and e-commerce platforms requiring flexible schemas for product catalogs and customer data
Healthcare and life sciences organizations running clinical workflows and real-time monitoring with vector embeddings for semantic search
Large software and SaaS companies using MongoDB as a core operational data layer for multi-tenant applications

Publicly disclosed clients

Toyota Connected
Coinbase
Samsung Electronics
Ford Motor Company
Zoom
Victoria's Secret
Novo Nordisk

Strengths and what to watch

Strengths

Market-leading vector database recognized as joint first in Retool's 2025 State of AI survey; deep integration of embeddings, retrieval, and operational data eliminates multi-system complexity
Atlas platform accelerating at 30% year-over-year growth with improving unit economics; $100K+ ARR customer cohort up 12.4% YoY to 2,694 accounts, signaling successful enterprise land-and-expand motion
Gartner Magic Quadrant Leader for fourth consecutive year in cloud database management systems; 62,500 total customers with net dollar expansion rate stabilizing at 121%

Watch for

Leadership transition risk: CEO transition from 11-year veteran Dev Ittycheria to Chirantan Desai in November 2025; execution complexity during AI product launch acceleration and reorganization into separate AI/core product teams
Vector search adoption still nascent relative to hype; Morningstar noted in late 2025 that vector search and embeddings need faster customer adoption despite technical capability; revenue growth decelerated from mid-20s to 19% YoY, raising questions on monetization velocity for AI workloads
Restructuring and workforce headwinds: FY2025 carried $4.524 million in restructuring charges related to workforce reductions; Glassdoor reviews cite repeated layoffs and alleged severance disputes, signaling ongoing organizational volatility despite public financial strength

Recent moves

Key Information

Industry: Database
Founded: 2007
Employees: 5001-10000
Headquarters: New York, NY

Frequently Asked Questions

What is MongoDB?

MongoDB is a document database founded in 2007 that provides cloud and self-managed platforms for storing flexible, schema-less data. It operates as a unified data platform combining operational databases, vector search, and stream processing capabilities for modern applications requiring scalability.

What is MongoDB Atlas?

MongoDB Atlas is the company's flagship cloud-native database-as-a-service platform. In Q3 fiscal 2026, it generated $628.3 million in revenue, representing 30 percent year-over-year growth. Atlas accounts for 75 percent of MongoDB's total revenue and has exceeded a $2 billion annualized run rate.

Does MongoDB support vector search?

Yes. MongoDB integrated vector search capabilities following its $220 million acquisition of Voyage AI in February 2025. Vector search adoption nearly doubled year-over-year as organizations built AI agents. MongoDB holds joint-first status in vector database capability per Retool's 2025 State of AI survey.

How many customers does MongoDB have?

MongoDB has 62,500 total customers, with 2,694 premium customers generating $100,000 or more in annualized recurring revenue. The high-value customer cohort grew 12.4 percent year-over-year, signaling successful enterprise land-and-expand strategy and a stable net dollar expansion rate of 121 percent.

Is MongoDB a leader in cloud database management?

MongoDB is recognized as a Gartner Magic Quadrant Leader in cloud database management systems, earning this status for the fourth consecutive year. It also holds joint-first ranking for vector database capability per Retool's 2025 State of AI survey, reflecting strong market positioning.

Which companies use MongoDB?

Notable MongoDB customers include Toyota Connected, Coinbase, Samsung Electronics, Ford Motor, Zoom, Victoria's Secret, and Novo Nordisk. The customer base spans financial services, automotive, retail, healthcare, and software sectors, using MongoDB for real-time data processing, AI applications, and operational infrastructure.

How MongoDB compares

Direct head-to-head against 3 competitors. Picked by 7wData.

Positioning: Provides a cloud and self-managed document database platform with integrated vector search and streaming for operational AI applications.
Customer segments: Financial services and fintech firms building payment and trading infrastructure with real-time data needs
Strengths: Market-leading vector database recognized as joint first in Retool's 2025 State of AI survey; deep integration of embeddings, retrieval, and operational data eliminates multi-system complexity
Watch for: Leadership transition risk: CEO transition from 11-year veteran Dev Ittycheria to Chirantan Desai in November 2025; execution complexity during AI product launch acceleration and reorganization into separate AI/core product teams
Recent moves: MongoDB announces new AI data-platform capabilities including automated embeddings, persistent agent memory, and enhanced database performance

Positioning: Enterprise document database for mobile and edge workloads. Sub-2% NoSQL market share, not a cloud-native platform leader.
Customer segments: Large enterprises in travel, hospitality, and telecom running offline-capable mobile apps requiring edge-to-cloud sync.
Strengths: Offline-first mobile sync fabric with over 10 years of production use, directly relevant after MongoDB sunset Atlas Device Sync in 2025.
Watch for: PE firm Haveli Investments took Couchbase private (September 2025). Roadmap visibility drops post-delisting. Customer count declined quarter-over-quarter in fiscal 2025.
Recent moves: Acquired by Haveli Investments for $1.5 billion, all-cash deal completed September 24, 2025. Delisted from Nasdaq.

Positioning: Cassandra-cloud specialist now absorbed into IBM watsonx, targeting real-time AI data workloads at high throughput.
Customer segments: Enterprises running high-throughput NoSQL at scale, AI engineering teams building retrieval pipelines, telco and fintech buyers.
Strengths: Native vector search on Apache Cassandra at production scale, plus Langflow open-source middleware for AI workflow orchestration.
Watch for: IBM acquisition means roadmap aligns to watsonx. Non-IBM customers face pricing opacity and platform lock-in risk cited by analysts.
Recent moves: IBM completed DataStax acquisition May 2025, integrating Astra DB into watsonx.data and Langflow into watsonx.ai.

Positioning: Distributed SQL alternative to Oracle and legacy RDBMS. PostgreSQL-compatible, multi-region active-active resilience for enterprise backends.
Customer segments: Fortune 50 financial institutions, fintech (Form3), gaming (Hard Rock Digital), retail (Shipt). Platform engineers and CTOs replacing Oracle or Postgres at scale.
Strengths: Active-active multi-region SQL with automatic node failover and no manual sharding. PostgreSQL wire compatibility allows migration without rewriting queries.
Watch for: Usage-based pricing replaced flat rates December 2024. Compute, storage, and CDC billed separately on renewal. Costs scale unpredictably at high throughput.
Recent moves: October 2025: IBM OEM partnership to ship CockroachDB on LinuxONE, IBM Z, Power Systems, and Red Hat OpenShift.

Sources

www.mongodb.com — Current executive team, CEO Chirantan Desai, CTO Jim Scharf, CFO Mike Berry, CPO roles, CRO Ryan Mac Ban
www.prnewswire.com — Q3 FY2026 financial results: $628.3M revenue (19% YoY), Atlas 30% YoY growth, 75% of revenue, 62,500 total customers, 2,694 customers at $100K+ ARR, Gartner Magic Quadrant Leader status
www.bloomberg.com — Voyage AI acquisition for $220M in February 2025, embedding and reranking models, trusted by Anthropic and LangChain
www.mongodb.com — Vector search expansion to Community Edition and Enterprise Server in September 2025, IDC survey showing 74% of organizations planning vector database adoption
www.sec.gov — FY2025 financial results, restructuring charges of $4.524M related to workforce reductions, net ARR expansion at 121%, customer additions
investors.mongodb.com — Voyage AI acquisition announcement, strategic rationale for trustworthy AI applications, reduced hallucinations