MongoDB, Inc. (MongoDB) operates as the developer data platform company.
The company’s developer data platform is a globally distributed operational database integrated with a set of data services that allow development teams to address the growing variety of application requirements, all in a unified and consistent user experience.
Built on the company’s unique document-based architecture, its database is designed to meet the needs of organizations for performance, scalability, flexibility, a...
MongoDB, Inc. (MongoDB) operates as the developer data platform company.
The company’s developer data platform is a globally distributed operational database integrated with a set of data services that allow development teams to address the growing variety of application requirements, all in a unified and consistent user experience.
Built on the company’s unique document-based architecture, its database is designed to meet the needs of organizations for performance, scalability, flexibility, and reliability while maintaining the strengths of relational databases.
The company’s database combines the best of both relational and non-relational databases. The company’s document-based architecture enables developers to manage data more naturally, making it easy and intuitive for developers to rapidly and cost-effectively build, modernize, deploy, and maintain applications, thereby increasing the pace of innovation within an organization. Customers can run the company’s database in any environment, depending on their operational requirements: fully managed as a service, or self-managed in the cloud, on-premises, or in a hybrid environment.
The company’s flexible document model is uniquely positioned to help customers build sophisticated AI applications because it is designed to handle different data types (source data, vector data, metadata, and generated data) right alongside live operational data, negating the need for multiple database systems and complex back-end architectures.
In addition to the database offering, the company’s developer data platform includes additional capabilities that allow developers to address a broader range of application requirements. The company’s platform’s integrated capabilities allow organizations to reduce the need for disparate, single-purpose data technologies, thereby lowering the cost and complexity of their application infrastructure. These complementary capabilities of its platform include:
Search: Extends the developer interface for working with the database to seamlessly implement relevance-based search operations, simplifying the development of rich search experiences in applications. It also eliminates the need to run a separate search engine alongside the database and maintains the sync between the two systems.
Vector search: Enables customers to easily and securely use pre-trained foundation models to leverage their own proprietary, up-to-date data for more accurate and trustworthy AI applications. Atlas Vector Search allows the integration of an operational database and vector search in a unified, fully managed platform.
Time series: Supports the entire end-to-end cycle of applications that leverage time series data, from ingestion, storage, and querying to native data visualization and automated data archival in a single platform, which removes the need for complex integration, thereby increasing efficiency and reducing cost.
Data lifecycle: Includes capabilities that help users more effectively manage the lifecycle of their application data. For example, MongoDB Atlas Online Archive helps users automatically tier aged data out of the database while keeping the data fully accessible.
Application-driven analytics: Includes a wide range of capabilities to help development teams build richer application experiences that rely on automatic, low-latency analytical processing of live data. This includes rich aggregations and indexing strategies, as well as dedicated analytics nodes for workload isolation.
Stream processing: Simplifies processing high-volume, high-velocity streams of data, transforming how developers build responsive, real-time applications. Use cases include personalization, anomaly detection, and predictive maintenance.
Products
The company’s customers can implement its developer data platform as a managed service offering, or they can choose a self-managed option. MongoDB Atlas is its managed multi-cloud database-as-a-service (‘DBaaS’) offering that includes an integrated set of database and related services. MongoDB Enterprise Advanced is the company’s proprietary self-managed commercial offering for enterprise customers that can run in the cloud, on-premises, or in a hybrid environment.
MongoDB Atlas
In June 2016, the company introduced MongoDB Atlas, its hosted multi-cloud DBaaS offering that includes comprehensive infrastructure and management, which it runs and manages in the public cloud. MongoDB Atlas provides customers with a highly flexible, managed offering that includes automated provisioning and healing, comprehensive system monitoring, managed backup and restore, default security, and other features that reduce operational complexity and increase application resiliency. MongoDB Atlas allows customers to remove themselves from the complexity of managing the database and related underlying infrastructure, so they can instead focus on the application and end-user experience and innovate more rapidly to better serve their own customers and capitalize on new business opportunities.
Built for resilience, scale, and security, MongoDB Atlas is available in more than 115 regions worldwide across all three major cloud providers (Amazon Web Services (‘AWS’), Google Cloud Platform (‘GCP’), and Microsoft Azure), enabling its customers to leverage the benefits of different cloud platforms for different use cases and helping them avoid infrastructure vendor lock-in. The availability of multi-cloud clusters on MongoDB Atlas allows organizations to deploy a fully managed, distributed database across multiple cloud providers simultaneously without the added operational complexity of managing data replication and migration across clouds.
Over the years, the company has introduced additional features and functionality, which have increased the capabilities of MongoDB Atlas and accelerated and expanded its adoption, including Atlas Search, Atlas Vector Search, Atlas Data Federation, and Atlas Charts.
Most recently, the company launched MongoDB Atlas Stream Processing, which transforms the way organizations can process streaming data to engage end-users and speed up operations. MongoDB Atlas Stream Processing works with any type of data, and with its flexible data model, enables customers to build engaging applications that can analyze data in real-time to adjust application behavior and inform business operations. Customers now have a single interface to easily extract insights from high-velocity and high-volume streaming data.
Together, these new features and capabilities for MongoDB Atlas enable businesses to improve operational efficiency and speed up their pace of innovation by standardizing many types of workloads on a single developer data platform across the enterprise.
The company frequently analyzes customer feedback to inform what areas of its product strategy it prioritizes and continues investing in. Based on customer feedback and the availability of the company’s partner offerings, MongoDB reprioritized its product roadmap and discontinued support for MongoDB Atlas Device Sync, Atlas Device SDKs, Atlas Data API, and HTTPS Endpoints, and Atlas Data Lake.
MongoDB Enterprise Advanced
MongoDB Enterprise Advanced is the company’s proprietary self-managed commercial database offering for enterprise customers that can run in the cloud, on-premises, or in a hybrid environment. MongoDB Enterprise Advanced is a subscription package that includes a commercial license to its platform and the following:
MongoDB Enterprise Database Server: The MongoDB enterprise database server is its proprietary commercial database. It stores, organizes, and processes data and facilitates access and changes to the data. It includes advanced security features, auditing functionality, and enterprise-standard authentication and authorization, as well as encrypted and in-memory storage engines to enable a wide range of workloads.
Enterprise Management Capabilities: MongoDB Enterprise Advanced customers can choose either its Cloud Manager Premium product (for customers who want to manage its platform via the cloud) or Ops Manager (generally for those with on-premises deployments), its sophisticated suite of management tools that allow operations teams to run, manage, and configure MongoDB according to their needs.
Analytics Integrations: The company provides integrations to allow data and business analysts to analyze data in applications running on its platform using their existing business intelligence and analytics tools. The company’s analytics integrations ensure enterprises can efficiently extract significant value from applications built on its platform.
Professional Services
The company provides professional services to its customers, including consulting and training, to make customer deployments of its platform successful, thereby increasing customer retention and driving customer revenue expansion. Given that the company has designed its platform to be easily deployed, its services typically do not involve implementation and are designed to facilitate a more rapid and successful deployment of MongoDB by its customers. Professional services are an important part of the company’s customer retention and expansion strategy. Customers who purchase professional services have typically increased their subscription usage with its platform and have done so more quickly than customers who have not engaged with its professional services.
Free Offerings
To encourage developer usage, familiarity, and adoption of the company’s platform, it offers Community Server and a free tier of MongoDB Atlas as ‘freemium’ offerings. Community Server is a free-to-download version of the company’s database that includes the core functionality that developers need to get started with MongoDB but not all of the features of its commercial platform. Community Server is available under a license that protects its intellectual property and supports its business model. The company’s goal is to convert Community Server users to paying customers of its commercial offerings (MongoDB Atlas or MongoDB Enterprise Advanced). The company’s Community Server has been downloaded over 500 million times from its website alone since February 2009. The company’s free tier of MongoDB Atlas provides access to its hosted database solution with limited processing power and storage, as well as certain operational limitations.
Unlike software companies built around third-party open source projects, the company owns the intellectual property of its offerings since it is the creator of the software, enabling its proprietary software subscription business model. Owning the intellectual property of the company’s offering also allows it to retain control over its future product roadmap, including the determination of which features are included in its free or paid offerings.
Growth Strategy
The company’s strategies are to acquire new customers, expand sales within its customer base, extend product leadership and introduce new products, foster the MongoDB developer community, grow and cultivate its partner ecosystem, and expand internationally.
The company has built a partner ecosystem of independent software vendors, systems integrators, value-added resellers, cloud, and technology partners. For example, it has expanded its business partnerships with all three major cloud providers (AWS, GCP, and Microsoft Azure) to enhance the company’s joint marketing initiatives, deliver technology integrations that benefit customers, and align with its sales strategy. The company has expanded its global partner ecosystem with Alibaba Cloud and Tencent Cloud to offer an authorized MongoDB-as-a-Service solution in China, allowing their customers to easily adopt and consume the company’s hosted solution. It has also expanded its existing partnerships with independent software vendors and global systems integrators, including IBM, Accenture, Infosys, Capgemini, Confluent, HCL, Wipro, Cognizant, Deloitte, and Tata Consultancy Services. The company’s system integrator partners have also been valuable in working with organizations to migrate and modernize applications to its platform, including leveraging the cloud with MongoDB Atlas. During 2024, the company announced the MongoDB AI Applications Program (MAAP), a first-of-its-kind collaboration to help customers build and deploy AI applications while reducing integration risk. MAAP brings together industry-leading consultancies and foundation model providers, all major cloud providers, and AI innovators all in one place. The MAAP ecosystem includes Accenture, Anthropic, AWS, Capgemini, Cohere, Confluent, Fireworks.ai, Google Cloud, IBM, LangChain, LlamaIndex, Nomic, Microsoft Azure, and Unstructured. The company intends to continue to expand and enhance its partner relationships to benefit its global customers, grow its market presence, and drive greater sales efficiency.
Customers
As of January 31, 2025, the company had over 54,500 customers spanning a wide range of industries in more than 100 countries around the world. All affiliated entities are counted as a single customer. The company’s definition of ‘customer’ excludes users of its free offerings.
Sales and Marketing
The company’s sales and marketing teams work together closely to drive awareness and adoption of its platform, accelerate customer acquisition, and generate and increase revenue from customers. While it sells to organizations of all sizes across a broad range of industries, its key sales focus is on enterprises that invest more heavily in software application development and deployment. These organizations have a greater need for databases and, in the largest enterprises, can have tens of thousands of applications and associated databases. The company plans to continue to invest in its direct sales force to grow its larger enterprise subscription base, both domestically and internationally.
The company’s go-to-market model is primarily focused on driving awareness and usage of its platform among software developers with the goal of converting that usage into paid consumption of its platform. The company is a pioneer of developer evangelism and education and has cultivated a large, highly engaged global developer community. It fosters developer engagement through community events and conferences to demonstrate how developers can create or modernize applications quickly and intuitively using its platform. The company intends to continue to cultivate its relationships with developers through continued investment in and growth of its MongoDB Advocacy Hub, User Groups, and MongoDB University.
To drive developer awareness of, engagement with, and adoption of the company’s platform, it created its Community Server and MongoDB Atlas free tier offerings. As a result, the company’s self-serve and direct sales prospects are often familiar with its platform and may have already built applications using its technology. To assess the most likely commercial prospects, the company employs a process-oriented and data-driven approach to customer acquisition. It utilizes advanced marketing technologies and processes to drive awareness and engagement, educate, and convert prospects into customers. The company also analyzes usage patterns of its self-serve and free tier users to identify those accounts that might benefit from engagement with its sales teams. As customers expand their usage of the company’s platform, its relationships with them often evolve to include technology and business leaders within their organizations, and its goal is to get organizations to standardize on the company’s platform. Once the company’s customers reach a certain spending level with it, it supports them with customer success advocates to ensure their satisfaction and expand their usage of its platform. The company also has a partner ecosystem of global system integrators, value-added resellers, and independent software vendors, which it collectively refers to as strategic partners.
The company’s sales and marketing organization includes sales development, inside sales, field sales, sales engineering, and marketing personnel.
Competition
The company primarily competes with established legacy database software providers, such as IBM, Microsoft, Oracle, and other similar companies. It also competes with public cloud providers that offer database functionality, such as Amazon Web Services (‘AWS’), Google Cloud Platform (‘GCP’), and Microsoft Azure, as well as other database software providers.
Intellectual Property
As of January 31, 2025, in the United States, the company had been issued 84 patents, which expire between 2030 and 2042, and had 47 patent applications pending, of which 10 are provisional applications. In addition, as of January 31, 2025, the company had 13 registered trademarks in the United States and 2 pending trademark applications in the United States.
Trademarks
‘MongoDB’ and the MongoDB leaf logo and other trademarks or service marks of MongoDB, Inc. appearing are the property of MongoDB, Inc.
History
The company was founded in 2007. It was incorporated under the laws of the state of Delaware in 2007. The company was formerly known as 10Gen, Inc. and changed its name to MongoDB, Inc. in 2013.
