53,000+
MongoDB paying customer accounts globally
Source: MongoDB Q1 FY2026 disclosure
TL;DR
Key Takeaways
- MongoDB is the leading developer-led NoSQL document database with approximately 53,000+ paying customer accounts globally.
- Publicly held (NASDAQ: MDB). Founded 2007 as 10gen. HQ: New York, NY.
- BizzContacts maintains 14,200+ verified MongoDB records with 99% accuracy and 97.5% inbox deliverability.
- B2B SaaS, FinTech, healthcare, e-commerce, gaming together account for ~55% of customers.
- Mid-market and upper-mid-market customers (300-5,000 employees) form ~32% of the install base.
- The Director of Platform Engineering and VP Engineering are highest-conversion outbound entry points.
- United States accounts for ~51% of customers; India is exceptionally strong at ~10%.
- Atlas Vector Search (GA 2024) launches MongoDB into the AI/RAG application database era.
By the numbers
MongoDB Install Base by the Numbers
Quotable statistics on the MongoDB install base, sourced from MongoDB 10-K filings, investor disclosures, and BizzContacts proprietary verification.
2,300+
MongoDB customers generating $100K+ annual revenue
Source: MongoDB FY2026 disclosure
Atlas dominant
Atlas cloud share of MongoDB customer mix
Source: MongoDB FY2026 corporate disclosure
14,200+
Verified BizzContacts MongoDB records
Source: BizzContacts Q1 2026 audit
~51%
Share of MongoDB customers in the United States
Source: BizzContacts geographic analysis
97.5%
Inbox deliverability on BizzContacts MongoDB list
Source: Third-party audit, Q1 2026
Under 2.4%
Bounce rate, 30-day replacement guarantee
Source: BizzContacts SLA, 2026
5.5x
Reply rate vs generic developer audience list
Source: BizzContacts customer benchmark, 2026
What is it
What Is the MongoDB Customers List?
The MongoDB customers list is a verified, regularly refreshed database of companies (typically 50-200,000+ employees) running MongoDB in production, with named VP Engineering, CTO, Director of Data Engineering, Director of Platform Engineering, Director of Backend Engineering, and developer-led decision-makers at each account. Every record on the BizzContacts MongoDB list is tagged with the specific MongoDB products in production (Atlas Database, Atlas Vector Search, Atlas Search, Atlas Stream Processing, Atlas App Services, Atlas Online Archive, Enterprise Advanced on-premises, Community Server with paid support), underlying cloud provider (AWS Atlas dominant, Azure Atlas, GCP Atlas), deployment model (Atlas cloud, Enterprise Advanced on-premises, hybrid), Atlas tier (Free, Shared, Dedicated M10-M700, Multi-Region, Multi-Cloud), MongoDB partner integrations (Vercel, Render, Hashicorp, Datadog, etc.), AI/RAG application status (Vector Search customers), and MongoDB Community vs Enterprise vs Atlas spend tier where derivable.
The list feeds outbound prospecting for modern data observability for MongoDB (Datadog Database Monitoring, New Relic, Mongoose, SolarWinds Database Performance Analyzer), MongoDB performance optimization (Percona, Mongoose enterprise), modern data integration with MongoDB (Fivetran, Airbyte, Estuary), Atlas cost optimization and FinOps (Vantage, CloudZero, Sedai), dedicated AI vector databases competing with Atlas Vector Search (Pinecone, Weaviate, Qdrant, Chroma, Milvus), modern RAG application frameworks (LangChain, LlamaIndex, Haystack), modern NoSQL alternatives (Couchbase, DataStax Astra, ScyllaDB, Aerospike), hyperscaler NoSQL displacement campaigns (Amazon DynamoDB, Azure Cosmos DB customers targeting MongoDB Atlas), modern ORM and database access tools (Prisma, Drizzle ORM, Mongoose), modern backend platforms adjacent to MongoDB (Vercel, Render, Railway, Supabase), and competing developer-first database platforms targeting MongoDB displacement. Records ship with company firmographics, named decision-makers, and audit-trail metadata.
02Definition
Why a MongoDB Customer List Matters in 2026
The AI/RAG application explosion (Atlas Vector Search GA in 2024, continued AI-native application development boom), the Atlas Stream Processing launch, and the broader competitive pressure from dedicated vector databases reshape the adjacent tech stack at MongoDB customer accounts in 2026. AI vector databases, modern RAG frameworks, Atlas cost optimization, modern data integration, and AI-native database alternatives are the highest-velocity adjacent buying categories.
MongoDB's bundled coverage is exceptional for developer-led document database with rapidly expanding AI Data Platform capabilities. Depth gaps where specialist vendors regularly win include dedicated AI vector databases with deeper vector capabilities (Pinecone, Weaviate, Qdrant), modern data observability with deeper MongoDB-specific insights, advanced FinOps for MongoDB Atlas cost optimization (Atlas spend can grow rapidly), modern RAG application frameworks, modern stream processing alternatives, and competing modern developer-first database platforms.
BizzContacts isolates the MongoDB install base as a separately filterable cohort so vendors can run focused outbound into developer-led VP Engineering, CTO, Director of Data Engineering, and Director of Platform Engineering decision-makers without diluting their TAM with broader SQL database audiences.
03Adoption
Companies Running MongoDB
MongoDB concentrates in developer-led companies (50-200,000+ employees) across B2B SaaS and software (the dominant vertical), FinTech and financial services, healthcare and HealthTech, e-commerce and DTC, gaming and gaming companies, media and entertainment, EdTech and online learning, advertising and AdTech, telecommunications, on-demand services, travel and hospitality, automotive (connected vehicle), IoT and connected devices, government and public sector, and other modern application industries. The platform's developer-first design, flexible document model (JSON-like BSON), Atlas multi-cloud deployment (AWS, Azure, GCP), zero-downtime scaling, and rapidly expanding AI capabilities (Vector Search, Atlas Search, Stream Processing) make it the default modern application database choice at developer-led organisations.
Customer skew is broad with strong presence at growing companies and enterprises. Approximately 30% are SMB and growing startup (under 100 employees, often on Atlas Shared or M10/M20 dedicated tiers), 35% are mid-market (100-1,000 employees, typically on M30-M60 dedicated Atlas tiers or smaller Enterprise Advanced deployments), and 35% are enterprise (1,000+ employees, often on multi-region Atlas Multi-Cloud or large Enterprise Advanced deployments). MongoDB has 2,300+ customers generating $100K+ annual revenue and the dollar-based net retention rate (NRR) has historically been strong (115-120% range) reflecting Atlas expansion within customer accounts.
04Top customers
Sample Companies Running MongoDB
A representative sample of named MongoDB customers across industries and employee sizes, drawn from public MongoDB customer references, MongoDB.local conference materials, and MongoDB customer case studies.
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05Adoption
MongoDB Adoption by Industry
MongoDB concentrates in modern application industries with developer-led data architecture and flexible schema needs.
B2B SaaS and software account for approximately 26% of MongoDB customer count, the densest concentration globally driven by developer-first document database adoption at venture-backed SaaS startups.
FinTech adoption is exceptionally strong (Coinbase, Square, modern crypto/payments) reflecting MongoDB's flexibility for evolving financial product schemas.
E-commerce uses MongoDB for product catalog flexibility, with eBay and Mercado Libre as defining global e-commerce references.
Atlas Vector Search adoption is concentrating heavily in B2B SaaS, FinTech, and Healthcare/HealthTech building AI/RAG applications.
IoT and connected vehicle adoption is exceptionally strong driven by MongoDB's ability to handle flexible time-series and telemetry document schemas.
06Geo coverage
MongoDB Adoption by Country
MongoDB is a global developer-led database platform with strong North American, European, and growing APAC and LATAM presence.
The United States accounts for approximately 51% of MongoDB customer count, the largest single market.
India is exceptionally strong at ~10% of customers reflecting India's vibrant B2B SaaS export ecosystem and global developer community.
Europe collectively (UK + Germany + France + Netherlands + Spain + Sweden + other EU) accounts for approximately 22% of customers.
Brazil and Mexico together account for ~4% of customers driven by LATAM FinTech and e-commerce adoption.
07US footprint
MongoDB Customers by US State
MongoDB US deployments span all 50 states with concentration in tech-dense states.
California concentration is exceptional driven by Bay Area B2B SaaS, LA media, San Diego biotech, and Silicon Valley FinTech.
New York hosts MongoDB's headquarters and the densest local FinTech and B2B SaaS MongoDB customer cluster.
Newark New Jersey hosts strong mobility and FinTech MongoDB cohort near the NYC tech ecosystem.
Austin Texas has emerged as a major B2B SaaS MongoDB cluster.
08Segmentation
MongoDB Customer Size Distribution
MongoDB concentrates broadly with strong presence across growing startup through global enterprise.
Mid-market and upper-mid-market customers (300-5,000 employees) form approximately 32% of MongoDB customer count, the highest-velocity outbound segment. MongoDB serves the full range from venture-backed startups (on Atlas M10) to global enterprises (on multi-cloud Atlas). MongoDB has 2,300+ customers generating $100K+ ARR (FY2026 disclosure).
09Buyer titles
Decision-Makers at MongoDB Customer Accounts
MongoDB buying decisions cluster around developer-led technical decision-makers (VP Engineering, CTO, Director of Platform Engineering) and data/AI leadership (Director of Data Engineering, Director of AI/ML).
The Director of Platform Engineering and VP Engineering are the highest-conversion outbound entry points at MongoDB customer accounts. CTO for strategic positioning. Director of Data Engineering and Director of AI/ML for Atlas Vector Search and AI-focused pitches. Director of DevOps and SRE for Atlas operations pitches. Director of Cloud Architecture for cloud-strategic pitches.
Reach these MongoDB decision-makers this week.
Verified MongoDB customer contacts with named CIO, ERP Manager, CFO, and procurement titles. 97.4% inbox deliverability.
10Tech stack
Technology Ecosystem Around MongoDB Customers
MongoDB customers run a predictable adjacent stack of developer tools, application platforms, observability, AI infrastructure, and modern cloud services.
Compared
MongoDB vs PostgreSQL vs DynamoDB vs Cosmos DB vs Couchbase
MongoDB and the four largest competing operational databases compared by buyer focus and BizzContacts coverage.
MongoDB wins on developer-first document model and multi-cloud Atlas. PostgreSQL wins on SQL ecosystem and ACID. DynamoDB wins on AWS-native serverless. Cosmos DB wins on Azure multi-model. Couchbase wins on enterprise NoSQL with N1QL SQL-like queries.
11Benefits
Why Outbound Teams Use the MongoDB Customers List
Sell into developer-led VPs Engineering and CTOs
Reach the actual decision-makers at developer-led MongoDB accounts.
Pitch dedicated AI vector databases
Pinecone, Weaviate, Qdrant target MongoDB Atlas Vector Search customers.
Position MongoDB observability and APM
Datadog, New Relic, Honeycomb target MongoDB customers for monitoring.
Run hyperscaler NoSQL displacement campaigns
Amazon DynamoDB, Azure Cosmos DB target MongoDB customers.
Pitch competing NoSQL platforms
Couchbase, DataStax Astra, ScyllaDB target MongoDB customers.
Event marketing for MongoDB.local conferences
Drive event engagement around MongoDB's regional conferences.
Who buys this list
Which Businesses Can Use the MongoDB Customers List
MongoDB sits at the centre of modern developer-led application data infrastructure, Atlas cloud operations, AI/RAG vector data, search, and stream processing at tens of thousands of growing companies and enterprises. The buyers below are the most common purchasers of the BizzContacts MongoDB customers list.
01
Dedicated AI vector databases
Pinecone, Weaviate, Qdrant, Chroma, Milvus target MongoDB Atlas Vector Search customers for AI/RAG application database displacement or augmentation.
Use case: Dedicated AI vector database, AI-native RAG infrastructure, scale-out vector search, embedding management.
02
Data observability and APM for MongoDB
Datadog Database Monitoring, New Relic, Honeycomb, Mongoose target MongoDB Atlas customers for performance monitoring.
Use case: MongoDB-specific observability, query performance monitoring, Atlas operations management.
03
Atlas cost optimization and FinOps
Vantage, CloudZero, Sedai, Capital One Slingshot target MongoDB Atlas customers for cost optimization.
Use case: Atlas spend optimization, instance rightsizing, query optimization, FinOps governance.
04
Modern data integration with MongoDB
Fivetran, Airbyte, Estuary, Hightouch target MongoDB customers for ETL into and out of MongoDB.
Use case: MongoDB data integration, CDC, replication to data warehouse, reverse ETL.
05
Competing operational databases
PostgreSQL (managed), Amazon DynamoDB, Microsoft Cosmos DB, Couchbase, DataStax Astra target MongoDB customers for OLTP database displacement.
Use case: Operational database displacement, relational SQL alternatives, hyperscaler-native NoSQL, multi-model database.
06
Modern RAG application frameworks
LangChain, LlamaIndex, Haystack, Vercel AI SDK target MongoDB Atlas Vector Search customers building AI/RAG applications.
Use case: RAG application frameworks, LLM application orchestration, AI agent platforms on MongoDB.
07
Modern ORMs and database access
Prisma, Drizzle ORM, Mongoose enterprise target MongoDB customers for developer-experience-focused ORM tools.
Use case: Modern ORMs, type-safe MongoDB access, schema migration, developer productivity.
08
Modern backend platforms adjacent to MongoDB
Vercel, Render, Railway, Supabase target MongoDB customers for modern application platforms.
Use case: Modern application platforms, developer-first hosting, serverless integration with MongoDB Atlas.
If your product or service touches modern operational databases, AI vector search, MongoDB observability, MongoDB FinOps, data integration, RAG application frameworks, modern ORMs, or modern backend platforms at a MongoDB-running organisation, the BizzContacts MongoDB list is the most direct path to qualified VP Engineering, CTO, Director of Platform Engineering, and Director of Data Engineering decision-makers.
12Buyer use cases
Why Businesses Purchase the MongoDB Email List
Developer-led title precision
VP Engineering, CTO, Director of Platform Engineering, Director of Data Engineering at MongoDB accounts.
Product-level filtering
Filter by Atlas Database, Vector Search, Atlas Search, Stream Processing, App Services, Online Archive, Enterprise Advanced, Community.
Cloud provider filtering
Filter by AWS Atlas, Azure Atlas, GCP Atlas, or multi-cloud Atlas deployments.
AI/RAG filter
Filter for customers running MongoDB Atlas Vector Search for AI/RAG applications.
Industry filtering
Filter by B2B SaaS, FinTech, healthcare, e-commerce, gaming, media, telecom, automotive, IoT, and other modern application industries.
Higher reply rates than generic developer lists
BizzContacts MongoDB records benchmark at 5.5x the reply rate of generic developer audience lists.
13Data dictionary
What Every MongoDB Record Includes
Every record on the BizzContacts MongoDB customers list ships with the following fields.
14Trust signals
Why BizzContacts for MongoDB Intelligence
Developer-led title precision
Data resolves to VP Engineering, CTO, Director of Platform Engineering at MongoDB accounts.
Product-level MongoDB tagging
Every record tagged with specific MongoDB products including Atlas Vector Search and App Services.
Cloud provider cross-reference
Cross-reference MongoDB Atlas customer with AWS, Azure, or GCP underlying cloud.
AI/RAG application tagging
Atlas Vector Search customers tagged for AI/RAG-focused vendor pitches.
Hand-verified developer-led records
Every contact researched by a named analyst familiar with developer-led title structures.
97.5% inbox deliverability
Multi-step email verification on every record.
How we build the data
How the MongoDB Customers List Data Is Sourced
The BizzContacts MongoDB customers list is built from a multi-channel research pipeline focused on confirming MongoDB product footprint, cloud provider, employee count, industry, AI/RAG application status, and partner integrations, plus tagging each record with verified VP Engineering, CTO, Director of Platform Engineering, Director of Data Engineering decision-makers.
A record is shipped only when at least two independent sources confirm the MongoDB deployment and the decision-maker contact is verified by the research desk within the trailing 30 days.
Customer voice
What Outbound Teams Say About BizzContacts MongoDB Data
Director of Platform Engineering at modern B2B SaaS companies is the right entry point. BizzContacts gave us 3,200 MongoDB Atlas accounts. Our reply rate jumped from 1.8% to 10.5%.
Atlas Vector Search customer filter was a goldmine for our dedicated vector database competitive displacement. We sourced 850 AI/RAG MongoDB accounts and closed thirteen pilots in 75 days.
FinTech industry filter on MongoDB was perfect for our financial data platform. 12 enterprise pilots in one quarter at MongoDB FinTech accounts.
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15Quick answers
MongoDB Buyer Intelligence: Quick Answers
Short, direct answer blocks optimised for AI search engines and featured snippets.
Q: How many companies use MongoDB?
A: MongoDB reports approximately 53,000+ paying customer accounts globally (FY2026 disclosure). BizzContacts verifies 14,200+ records focused on growing and enterprise MongoDB customers.
Q: What is MongoDB Atlas?
A: MongoDB Atlas is the cloud-managed database service running on AWS (dominant), Microsoft Azure, and Google Cloud. Atlas is the dominant MongoDB offering with the majority of new customer adoption.
Q: What is MongoDB Atlas Vector Search?
A: MongoDB's vector search capability (GA in 2024) for storing, indexing, and querying vector embeddings for AI/RAG applications. Vector Search is integrated natively with MongoDB Atlas, allowing developers to combine vector search with traditional MongoDB queries.
Q: What is MongoDB Atlas Search?
A: MongoDB's Lucene-based full-text search capability integrated with Atlas, providing faceted search, fuzzy matching, and relevance scoring.
Q: What is MongoDB Atlas Stream Processing?
A: MongoDB's stream processing capability for real-time data processing with native MongoDB integration, supporting Apache Kafka and other streaming sources.
Q: What is MongoDB Atlas App Services (formerly Realm)?
A: MongoDB's serverless application backend providing GraphQL APIs, authentication, sync (for mobile/offline apps), and serverless functions integrated with Atlas.
Q: How does MongoDB compare to PostgreSQL?
A: MongoDB is document-first NoSQL. PostgreSQL is relational SQL with strong JSON support. MongoDB wins on flexible schema and document-first developer experience; PostgreSQL wins on ACID transactions, SQL ecosystem, and broader relational use cases.
Q: How does MongoDB compare to Amazon DynamoDB?
A: MongoDB is multi-cloud document database with richer query capabilities. DynamoDB is AWS-only key-value/document NoSQL with simpler operations. MongoDB wins on query flexibility and multi-cloud; DynamoDB wins on AWS-native serverless and predictable performance at scale.
Q: How does MongoDB compare to Microsoft Cosmos DB?
A: MongoDB Atlas is multi-cloud with deeper MongoDB API depth. Cosmos DB is Azure-only multi-model database (MongoDB API, SQL API, Cassandra, Gremlin). MongoDB wins on MongoDB API depth and multi-cloud; Cosmos DB wins on Azure ecosystem and multi-model flexibility.
Q: How does MongoDB Atlas Vector Search compare to Pinecone?
A: Atlas Vector Search is integrated natively with MongoDB documents. Pinecone is a dedicated vector database. Atlas Vector Search wins on integration with operational data; Pinecone wins on dedicated vector database scale and specialised features.
Q: Who owns MongoDB?
A: MongoDB is publicly held (NASDAQ: MDB). Founded 2007. Headquartered in New York, NY.
Q: What industries use MongoDB most?
A: B2B SaaS and software, FinTech and financial services, healthcare and HealthTech, e-commerce and DTC, gaming companies, media and entertainment, EdTech and online learning, advertising and AdTech, telecommunications, on-demand services, travel and hospitality, automotive (connected vehicle), IoT and connected devices, government, real estate tech.
Q: Where is the largest MongoDB install base?
A: United States accounts for ~51% of customers. India, UK, Germany, Canada, Australia, France, Netherlands, Brazil, Singapore, Japan have largest non-US concentrations.
Q: How accurate is the BizzContacts MongoDB list?
A: 99% record-accuracy SLA, 97.5% inbox deliverability, 30-day replacement guarantee.
Q: Can I filter by MongoDB product and AI/RAG status?
A: Yes, by Atlas Database, Vector Search, Atlas Search, Stream Processing, App Services, Online Archive, Enterprise Advanced plus AI/RAG application customer flag.
16Search insights
People Also Ask About MongoDB Customers
17FAQ
MongoDB Customers List FAQs
18Explore more
Related Pages Inside BizzContacts
Related install-base and decision-maker resources for vendors selling into the MongoDB ecosystem.
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Adjacent analytics platform integrated with MongoDB
AWS Customers List
Largest underlying cloud for MongoDB Atlas
Microsoft Azure Customers List
Adjacent Azure MongoDB Atlas deployments
Heroku Customers List
Adjacent application platform commonly paired with MongoDB
CTO Email List
CTO contacts at MongoDB accounts
VP Engineering Email List
VP Engineering contacts at MongoDB accounts
Technology Email List
B2B SaaS contacts at MongoDB accounts
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