MongoDB is a database and data platform software company focused on helping organizations build modern applications with a flexible document model rather than rigid relational schemas. Its platform is designed for operational workloads that need scale, high availability, developer productivity, and the ability to work with diverse and evolving data structures.
The portfolio spans fully managed cloud services and self-managed software. MongoDB Atlas anchors the offering as a multi-cloud platform that combines database services with search, vector search, stream processing, analytics, and data lifecycle capabilities, while Enterprise Advanced and MongoDB Community Edition support customers that want to run MongoDB in their own environments. MongoDB also provides desktop and migration tools that help teams explore data, optimize performance, and modernize applications on MongoDB.
Offerings, Capabilities, and Integrations
MongoDB brings operational data, search, semantic retrieval, streaming, and visualization into one platform so teams can build transactional, analytical, and AI-enabled application features without relying on as many separate systems. Its offerings cover managed cloud deployment, self-managed production deployment, database administration, schema migration from relational systems, visual data exploration, and embedded analytics.
The platform is built for deployment across AWS, Microsoft Azure, and Google Cloud, with procurement and native ecosystem connections on each. MongoDB supports integrations for cloud infrastructure, Kubernetes, analytics, and AI workflows, including services such as AWS Bedrock and CloudFormation, Microsoft Fabric and Foundry, and Google Cloud services like Vertex AI, BigQuery, Datastream, GKE, and Looker.
Products and Services
- MongoDB Atlas: MongoDB’s flagship multi-cloud developer data platform, combining a managed database with integrated data services for building and scaling modern applications across AWS, Microsoft Azure, and Google Cloud.
- Atlas Database: The managed cloud database service at the core of MongoDB Atlas, designed to automate provisioning, scaling, backups, and operational management for MongoDB workloads.
- MongoDB Search: Integrated full-text search capabilities for relevance-based application features such as text indexing, autocomplete, faceting, pagination, and ranked search results.
- MongoDB Vector Search: Native vector search capabilities for semantic retrieval, RAG, and AI application development, allowing vector data to be queried alongside operational data in MongoDB.
- Atlas Stream Processing: A managed stream processing service that lets teams ingest, transform, and route streaming data from sources such as Kafka, APIs, and cloud storage using MongoDB’s aggregation framework.
- Enterprise Advanced: MongoDB’s self-managed commercial offering for production deployments, combining MongoDB Enterprise Server with security, operational tooling, and enterprise support.
- MongoDB Community Edition: The source-available, free-to-use self-managed edition of MongoDB for learning, prototyping, and building applications in local or self-managed environments.
- MongoDB Compass: A free GUI for visually exploring data, running queries and aggregations, analyzing schemas, and investigating performance in MongoDB deployments.
- MongoDB Relational Migrator: A free migration tool that helps organizations assess, model, transform, and move workloads from relational databases such as Oracle, SQL Server, MySQL, and PostgreSQL to MongoDB.
- Atlas Data Federation: A distributed query engine for querying, transforming, and moving data across Atlas clusters, Online Archive, and cloud object storage through a unified service.
- Atlas Online Archive: A managed archiving service that automatically moves infrequently accessed Atlas data to lower-cost object storage while keeping it queryable through a unified endpoint.
- Atlas Charts: A built-in visualization and embedded analytics tool for creating, sharing, and embedding real-time dashboards and charts directly from MongoDB Atlas data.
- Ops Manager: Self-managed database operations software included with Enterprise Advanced that helps teams deploy, monitor, back up, restore, and scale MongoDB on their own infrastructure.
Target Customers
MongoDB targets software developers, application architects, platform engineers, data engineers, and database administrators who want a flexible database foundation and faster delivery for modern applications. Its tooling also serves teams responsible for migration, operations, performance tuning, and data visualization.
The company sells to organizations ranging from digital-native builders to large enterprises modernizing legacy relational estates or running mission-critical workloads in regulated environments. Common customer needs include cloud migration, multi-cloud deployment, event-driven systems, search-rich user experiences, and AI applications. MongoDB also addresses industry-specific modernization needs in sectors such as financial services, manufacturing, automotive, retail, healthcare, insurance, and the public sector.
Cloud Integrations and Marketplace
- AWS Marketplace: MongoDB Atlas is available through AWS Marketplace with pay-as-you-go procurement and supports integrations across the AWS ecosystem for AI, analytics, modernization, and infrastructure automation.
- Azure Marketplace: MongoDB Atlas is available in Azure Marketplace and connects with Microsoft Azure services for AI, analytics, governance, developer tooling, and migration initiatives.
- Google Cloud Marketplace: MongoDB Atlas is available in Google Cloud Marketplace with consolidated billing and integrations spanning Google Cloud services such as Vertex AI, BigQuery, Datastream, GKE, and Looker.
Key People
- Chirantan “CJ” Desai: President & CEO
- Mike Berry: Chief Financial Officer
- Jim Scharf: Chief Technology Officer
- Ryan Mac Ban: Chief Revenue Officer
- Benjamin Cefalo: Chief Product Officer, Core Products
- Pablo Stern-Plaza: Chief Product Officer, AI and Emerging Products
- Erica Volini: Chief Customer Officer
- May Petry: Chief Marketing Officer
- Andrew Stephens: Chief Legal Officer
- Harsha Jalihal: Chief People Officer
- Deepa Gopinath: Chief Information Officer
Key Facts
- Headquarters: New York, New York, United States
- Employees: 5,636
- Annual Revenue: $2.46 billion
- Parent Company: None
- Subsidiaries: MongoDB Limited (Ireland)
- Publicly Listed: NASDAQ: MDB
Analyst Recognitions
- Gartner: 2025 Gartner Magic Quadrant for Cloud Database Management Systems – Leader.
- Forrester: The Forrester Wave: Translytical Data Platforms, Q4 2024 – Leader.
