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MongoDB(MDB)

Leader#1 in Data & Analytics

Document database leader with $1.7B revenue; Atlas Vector Search positions MongoDB as the core AI application data layer for RAG and semantic search; flexible BSON document model serves 47,000+ customers on AWS, Azure, and Google Cloud.

Best for: Vector DatabasesMarket leader
90
AI Score
Grade A
AI Visibility Score (Beta)
Data & AnalyticsVector DatabasesMDBWebsiteUpdated October 2026
AI Supply Chain
earlysig.com/universe
Ticker
MDB
Market Cap
$22B
AI Revenue
30%
Supply Layer
L5: AI Platforms & Tools
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Brand Intelligence Graphcompany

Competes with
Integrates with
Capabilities
Vector Databases

Company Overview

About MongoDB

MongoDB is a leading document-oriented NoSQL database company providing a flexible, developer-friendly data platform for modern applications that require horizontal scalability, flexible schemas, and rich query capabilities. Founded in 2007 by former DoubleClick engineers and headquartered in New York City, MongoDB pioneered the document database model using JSON-like documents (BSON) rather than relational tables, enabling developers to store data in structures that naturally match application objects without complex ORM mappings. The company is listed on NASDAQ and generates approximately $1.7 billion in annual revenue.

Business Model & Competitive Advantage

MongoDB Atlas, the company's fully managed cloud database service available on AWS, Azure, and Google Cloud, is the primary growth driver — representing over 70% of revenue and growing faster than the overall database market. Atlas provides not just database hosting but also a rich service layer including Atlas Search (full-text search), Atlas Vector Search (for AI/ML applications), Atlas Data Federation (querying across data sources), and App Services (backend-as-a-service). The combined developer experience makes MongoDB Atlas a development platform, not just a database.

Competitive Landscape 2025–2026

In 2025, MongoDB has become a core component of the AI application stack through Atlas Vector Search — enabling retrieval-augmented generation (RAG) applications that need to store and query document embeddings alongside application data. The company has aggressively marketed this "operational AI" positioning, winning developers building AI-powered features who want to avoid managing a separate vector database. MongoDB competes with PostgreSQL (with pgvector), Pinecone, and cloud database services. Revenue growth of 20%+ demonstrates continued strong developer adoption despite intense competition in the database market.

Founded
2007
Headquarters
New York City, MongoDB pioneered the document database model using JSON
Revenue
$1.7B
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Key Differentiators

Market Leader

MongoDB is recognized as a market leader in the Data & Analytics sector, demonstrating strong industry presence and customer trust.

Enterprise Scale

With $1.7B in revenue, MongoDB operates at enterprise scale with proven market validation.

Top 3 Ranked

Ranked #1 in the Data & Analytics category, consistently recognized for excellence.

Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

90
→ Stable

Based on estimated brand signals. Historical tracking coming soon.

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