What MongoDB for Startups does

MongoDB, Inc. (NASDAQ: MDB), founded in 2007 and headquartered in New York, is the publicly traded parent company that operates the "MongoDB for Startups" program alongside its broader modern data platform business. The company provides a document database in which JSON-like documents map directly to application objects, deployed primarily through MongoDB Atlas—a fully managed multi-cloud database service available across AWS, Azure, and Google Cloud in 125+ regions. The Atlas platform unifies operational data, vector search, full-text search (built on Apache Lucene), and Apache Kafka-based stream processing within a single Query API; the latest MongoDB 8.0 release delivers 36% higher throughput, 59% higher update throughput, 200%+ faster time series aggregations, and up to 50x faster resharding, with Queryable Encryption extended to support range queries.

The commercial offering spans three Atlas tiers (free, Flex usage-based, Dedicated subscription), self-managed MongoDB Enterprise Advanced (commercial license plus Ops Manager and 24/7/365 support), and the free, source-available MongoDB Community Edition. Go-to-market combines product-led growth through self-serve signup and free tiers with enterprise field sales for larger deployments, supplemented by listings on AWS, Azure, and Google Cloud marketplaces, a global partner ecosystem (Accenture, Capgemini, TCS, Tech Mahindra), and dedicated programs such as MongoDB for Startups, which extends free Atlas credits to early-stage companies and AI innovators. Customers span financial services, retail and e-commerce, AI/ML, healthcare, gaming, telecommunications, manufacturing, and the public sector, with named logos including Cisco, Wells Fargo, Coinbase, Toyota Connected, Novo Nordisk, Okta, Victoria's Secret, and VisionTrack.

Revenue derives primarily from recurring Atlas cloud subscriptions and Enterprise Advanced licensing, supplemented by professional services (migration methodology, version upgrades) and MongoDB University training and certifications. In 2024 the company acquired Voyage AI to embed proprietary embedding models and rerankers directly into the Atlas aggregation pipeline, enabling Automated Embedding, Native Reranking (up to 30% retrieval quality lift), and hybrid lexical/vector search over live operational data. MongoDB was named a Leader in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems for the second consecutive year and in 2025 marked 10 years since the launch of MongoDB Atlas.

Name

MongoDB for Startups

Legal name

MongoDB, Inc.

Website

https://mongodb.com

Company type

Public

Founded year

2007

Operating status

Operating

Short description

MongoDB, Inc. (NASDAQ: MDB) provides a modern document data platform via the fully managed MongoDB Atlas cloud service, unifying operational, vector, full-text, and stream-processing workloads across 125+ regions. Its "MongoDB for Startups" program extends free Atlas credits to early-stage companies and AI innovators globally.

Ownership category

akta.pro rank

Product category

Cloud Database Management

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Database-as-a-Service (DBaaS) Platforms (HDAEAAAN)

akta.pro secondary industries

Time-Series Databases (HDAEAAAF), End-to-End MLOps & ML Platform Suites (HDAAABAA)

Keywords

• Cloud database platform
• Document database management
• Vector search platform
• Managed database services
• Data migration tools

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. MongoDB Atlas Cloud Subscriptions: Fully managed cloud database service with tiered pricing (Free, Flex, Dedicated). Pay-as-you-go model with auto-scaling for cost efficiency. Infrastructure management automated including provisioning, backups, patches, scaling, and failover.
2. MongoDB Enterprise Advanced: Self-managed deployment with commercial license, Ops Manager for automation, and 24/7/365 technical support. Includes additional operational tools not available in Community Edition.
3. MongoDB Community Edition: Free, source-available edition for learning and development. Revenue derived from converting users to paid Atlas or Enterprise tiers.
4. Professional Services: Consulting services including major version upgrades, migration methodology, and relational migration support.
5. Training and Certifications: MongoDB University offers learning paths, skill badges, and certifications for developers.

Pricing tiers

Go-to-market motion2 records

Distribution channels6 records

Marketing channels8 records

Core offering

MongoDB for Startups is a startup program from MongoDB, Inc. that provides free MongoDB Atlas credits to help early-stage companies build and scale applications on a unified modern data platform. The underlying platform combines a flexible document database, Atlas Vector Search, Atlas Search, Atlas Stream Processing, and developer tools, enabling startups to build AI-powered, transactional, and event-driven applications with integrated retrieval, search, and analytics.

Product overview

MongoDB is a modern data platform consisting of the MongoDB Atlas cloud platform (a multi-cloud database with integrated services including Atlas Vector Search, Atlas Search, Atlas Stream Processing, Charts, Data Federation, and Online Archive), self-managed deployment options (Enterprise Advanced and Community Edition), and developer tools (Compass GUI, Relational Migrator, Atlas CLI). MongoDB also acquired Voyage AI for embedding models and rerankers that power AI capabilities. The platform supports AI workloads through vector search, hybrid search, RAG, and generative AI capabilities.

Differentiator

Problem solved

Functional benefit

Brands

• MongoDB Atlas: The modern, multi-cloud database platform - fully managed cloud database service.
• MongoDB Vector Search
• MongoDB Search
• Atlas Stream Processing
• MongoDB Compass
• MongoDB Relational Migrator
• MongoDB Enterprise Advanced
• MongoDB Community Edition

Products and services

• MongoDB Atlas Fully managed multi-cloud database platform combining the document data model with integrated data services including Vector Search, Search, Stream Processing, Charts, Data Federation, and Online Archive. Available across AWS, Azure, and Google Cloud.
• MongoDB Enterprise Advanced Self-managed MongoDB deployment with commercial license, Ops Manager for automation, and 24/7/365 technical support, plus additional operational and security tools not available in Community Edition.
• MongoDB Community Edition Free, source-available, self-managed version of MongoDB's core database, available under Server Side Public License. Includes native full-text and vector search starting with version 8.2.
• Atlas Vector Search Vector search add-on for MongoDB Atlas that enables semantic search, recommendation engines, RAG, agentic systems, and anomaly detection on live operational data. Includes Automated Embedding powered by Voyage AI and native reranking.
• Atlas Search Embedded full-text search service built on Apache Lucene that provides scalable, relevance-based search within MongoDB Atlas. Now includes native reranking powered by Voyage AI.
• Atlas Stream Processing Stream processing service that simplifies integrating MongoDB with Apache Kafka to build event-driven applications. Uses MongoDB Aggregation Pipeline stages for processing continuous data streams.
• Atlas Charts Data visualization and dashboarding service that brings MongoDB Atlas data to life with real-time insights, embeddable dashboards, and customizable visualizations.
• Atlas Data Federation Data federation service that enables seamless querying, transformation, and aggregation of data across MongoDB Atlas databases and AWS S3 buckets through a single endpoint.
• Atlas Online Archive Archival service that moves cold data from Atlas clusters to fully managed cloud object storage and makes it queryable through a single endpoint.
• MongoDB Compass Free graphical user interface (GUI) tool for MongoDB that lets developers explore data, run queries and aggregations, build pipelines visually, monitor performance, and generate queries using natural language.
• Relational Migrator Migration tool that moves data from relational databases (Oracle, SQL Server, MySQL, DB2, Sybase, PostgreSQL) to MongoDB, featuring schema visualization, gen AI-powered SQL-to-aggregation pipeline conversion, and a REST API for automation.

Quantifiable outcome

• 67% retrieval latency reduction
• +12 more outcomes

Named customers30 records

Segments9 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration7 records

AI capability9 records

Feature12 records

Partnerships

13 partnerships are on record, tiered core and strategic.

• Amazon Web Services (AWS)coreTechnology or IntegrationAWS is a cloud provider partner offering native Atlas integrations and marketplace listings. MongoDB Atlas deploys on AWS infrastructure across multiple regions.
• Microsoft AzurecoreTechnology or IntegrationAzure is a cloud provider partner with native Atlas integrations and Azure Marketplace listing for seamless enterprise procurement.
• Google CloudcoreTechnology or IntegrationGoogle Cloud is a cloud provider partner with native Atlas integrations and marketplace listing.
• ConfluentcoreTechnology or IntegrationConfluent integration enables Kafka connectivity for event streaming use cases with Atlas Stream Processing.
• DatabrickscoreTechnology or IntegrationDatabricks integration enables lakehouse architecture connectivity with MongoDB operational data.
• AccenturestrategicImplementation/ SI/ Consulting PartnerAccenture is an implementation partner providing consulting services for MongoDB enterprise deployments.
• CapgeministrategicImplementation/ SI/ Consulting PartnerCapgemini provides digital transformation consulting with MongoDB implementations.
• TCS (Tata Consultancy Services)strategicImplementation/ SI/ Consulting PartnerTCS provides consulting and implementation services for MongoDB enterprise customers.
• Tech MahindrastrategicImplementation/ SI/ Consulting PartnerTech Mahindra offers implementation and consulting services for MongoDB deployments.
• CoherecoreTechnology or IntegrationCohere embedding provider integration for vector search in MongoDB.
• LangChaincoreTechnology or IntegrationLangChain integration enables RAG and agentic AI applications with MongoDB vector search.
• OpenAIcoreTechnology or IntegrationOpenAI integration enables GPT models for RAG applications with MongoDB Atlas Vector Search.
• LlamaIndexcoreTechnology or IntegrationLlamaIndex framework integration for building LLM applications with MongoDB.

Scale indicators20 records

Recent moves5 records

Expansion highlights6 records

Direct peers

• Amazon DocumentDB: AWS's managed document database service, MongoDB-compatible at the API level. Direct head-to-head competitor for Atlas workloads, particularly for customers already standardized on AWS.
• Elastic: Search and observability platform with Elasticsearch as its core, now offering vector search, hybrid retrieval, and managed cloud. Overlaps with Atlas Search and Vector Search on retrieval-augmented AI workloads.
• Snowflake: Cloud-native data platform with consumption-based pricing. Highly comparable to MongoDB Atlas in go-to-market (PLG + enterprise sales), multi-cloud distribution across AWS/Azure/GCP, and developer-led adoption of a managed data service.
• Couchbase: Document and key-value database with Capella managed cloud offering. Direct competitor in NoSQL document workloads targeting enterprise and AI applications with similar JSON-like flexibility.
• Azure Cosmos DB: Microsoft's globally distributed multi-model database with document, key-value, graph, and vector capabilities. Competes directly with Atlas for cloud-native, multi-region document and AI workloads.
• Google Cloud Firestore: Google Cloud's managed NoSQL document database. Comparable on document model, serverless scaling, and tight GCP integration; competes for mobile/web app backends and AI workloads.
• Databricks: Lakehouse data platform with Delta Lake, vector search, and AI/ML tooling. Overlaps with MongoDB on unified data + AI workloads, multi-cloud deployment, and enterprise AI/analytics customer base.

Emerging players

• Weaviate: Open-source vector database with hybrid search and generative AI integrations. Comparable emerging alternative for AI-native teams considering a dedicated vector store over a unified database.
• Pinecone: Purpose-built managed vector database optimized for AI retrieval. Competes with Atlas Vector Search on dedicated vector workloads, particularly for teams separating retrieval from operational storage.
• Supabase: Open-source Postgres-based backend platform with vector support (pgvector). Targets the same developer-led, startup-friendly segment as MongoDB for Startups, increasingly competing for AI-native workloads.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/mongodb

Revenue estimate

Valuation estimate

Number of profiles

Subsidiaries1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments6 records

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about MongoDB for Startups