MongoDB (MDB) Stock Price, News & Analysis

MongoDB, Inc. (NASDAQ: MDB) is a software company in the information sector that focuses on database technology and data platforms. Founded in 2007, MongoDB is known as a vendor of a document-oriented database designed to accelerate the development of new applications. The company is headquartered in New York and its common stock trades on the Nasdaq Global Market under the symbol MDB.

MongoDB offers a unified data platform built to power the next generation of applications. According to the company, its platform is widely available and globally distributed, with integrated capabilities for operational data, search, real-time analytics, and AI-powered retrieval. This combination is intended to help organizations move faster, innovate more efficiently, and simplify complex architectures by working with a single data foundation rather than multiple disconnected systems.

Enterprise customers can choose between MongoDB Atlas, a fully managed cloud offering, and MongoDB Enterprise Advanced, a self-managed deployment option. The company also provides a free Community Server, which has recorded over 500 million downloads since 2009. MongoDB states that millions of developers and tens of thousands of customers across industries, including a significant portion of the Fortune 100, rely on its database for important applications.

Core database and data platform

MongoDB describes its technology as a unified, intelligent data platform and a modern database. It is characterized as a document database that gives developers tools to build modern applications for many use cases in one place. The company highlights the flexibility of the document model and an architecture built for continuous change as key aspects of its approach.

The platform incorporates integrated capabilities for:

• Operational data to support day-to-day application workloads.
• Search, including full-text search capabilities.
• Real-time analytics to analyze data as it is generated.
• AI-powered retrieval to support AI-driven applications and workflows.

MongoDB positions this combination as a way for organizations to build applications that require high performance, personalization, and real-time behavior, while keeping data in a single system.

Cloud services and self-managed offerings

MongoDB Atlas is the company's fully managed cloud database service. In recent financial updates, MongoDB has emphasized the role of Atlas in its growth, noting that Atlas revenue represents a substantial portion of total revenue and that Atlas is used by many customers building AI applications. Atlas is part of what the company describes as its ability to run anywhere, including multiple cloud environments.

For customers that prefer to manage their own infrastructure, MongoDB offers MongoDB Enterprise Advanced and MongoDB Enterprise Server. These self-managed offerings allow organizations to deploy MongoDB in local, on-premises, or other self-managed environments while using the same core database and query capabilities as Atlas.

Search and vector search capabilities

MongoDB has announced the integration of search and vector search capabilities into MongoDB Community Edition and MongoDB Enterprise Server. Previously, these capabilities were exclusive to MongoDB Atlas. With this change, developers and organizations can access full-text search and vector search in local, on-premises, and self-managed deployments.

According to the company, integrating search and retrieval directly into the database can reduce the need for external search engines or separate vector databases. MongoDB states that this can help avoid fragmented search stacks, reduce operational overhead, and lower the risk of synchronization errors and complex extract, transform, and load (ETL) pipelines. The company highlights use cases such as semantic information retrieval based on vector embeddings and hybrid search that combines keyword and vector search.

AI and application development focus

MongoDB emphasizes its role in enabling AI applications and modern software development. The company notes that many recently added customers are building AI applications and that its platform is used as part of AI infrastructure. MongoDB has described its database as a foundation for retrieval-augmented generation (RAG) and agentic AI user experiences, where integrated search and AI-driven retrieval provide relevant context for AI systems.

MongoDB also highlights partnerships with AI-focused companies and frameworks, including LangChain and LlamaIndex, which have worked with MongoDB to test search and vector search capabilities in Community Edition. These collaborations are presented as ways to help developers build large language model (LLM) applications using MongoDB as the data store.

Application modernization platform

Beyond the core database, MongoDB has introduced MongoDB AMP, an AI-powered Application Modernization Platform. MongoDB AMP is described as a combination of an AI-powered software platform, a delivery framework, and experienced delivery engineers. Its purpose is to help enterprises transform legacy applications into modern, scalable services built on MongoDB.

The company reports that AMP has been used with customers in industries such as banking, wealth management, and financial technology. In these examples, MongoDB states that customers have migrated applications from legacy relational databases to MongoDB Atlas, reduced development time for migrations, and shortened testing cycles. MongoDB presents AMP as a way to address technical debt and modernize applications more quickly than traditional consulting-heavy approaches.

Customer base and market reach

MongoDB reports that it serves more than 50,000 customers and, in some descriptions, more than 60,000 customers across almost every industry. The company also notes that a large share of the Fortune 100 uses MongoDB for important applications. Customer metrics disclosed in earnings releases and SEC filings indicate that MongoDB continues to add new customers each quarter.

The company states that its database is the most widely available, globally distributed database on the market. It also emphasizes that its platform can run across different infrastructures, including local machines, on-premises data centers, and cloud environments, and that it is working to support public sector requirements through initiatives such as its Run Anywhere strategy and plans for specific government authorizations for MongoDB Atlas for Government.

Leadership and governance

MongoDB has disclosed leadership changes through its SEC filings and press releases. In 2025, the company announced a transition in the role of President and Chief Executive Officer, with a new CEO appointed and the prior CEO remaining as an advisor and board member for a defined period. These changes are described in detail in the company’s Form 8-K filings and related press releases.

Corporate governance matters, such as director elections, executive compensation advisory votes, auditor ratification, and charter amendments, are documented in the company’s annual meeting results filed with the SEC. These filings provide information on how stockholders have voted on key governance topics.

Financial reporting and growth indicators

MongoDB provides regular financial updates through quarterly earnings releases and Form 8-K filings. These documents report total revenue, subscription revenue, services revenue, gross profit, operating income or loss, net income or loss, and cash flow metrics, as well as non-GAAP measures such as non-GAAP gross profit, non-GAAP income from operations, non-GAAP net income, and free cash flow.

In recent quarters, MongoDB has reported year-over-year revenue growth and has highlighted the contribution of MongoDB Atlas to total revenue. The company also discloses customer additions and total customer counts as of the end of each quarter. Management commentary in earnings releases often links financial performance to the adoption of MongoDB’s platform, the growth of Atlas, and customer interest in AI-related use cases.

Use of non-GAAP measures

MongoDB explains its use of non-GAAP financial measures in its earnings releases. The company states that it uses non-GAAP gross profit, non-GAAP gross margin, non-GAAP operating expenses, non-GAAP income from operations, non-GAAP operating margin, non-GAAP net income, non-GAAP net income per share, and free cash flow internally to analyze financial results. These measures exclude items such as stock-based compensation, amortization of intangible assets from acquisitions, certain acquisition-related costs, restructuring costs, amortization of debt issuance costs, and gains or losses on financial instruments, as well as an assumed provision for income taxes based on a long-term non-GAAP tax rate.

MongoDB notes that these non-GAAP measures are intended as supplements to GAAP results and that they have limitations as analytical tools. The company provides reconciliations between GAAP and non-GAAP figures in tables included with its earnings releases.

Stock information and regulatory status

MongoDB’s common stock is registered under the Securities Exchange Act of 1934 and listed on the Nasdaq Global Market. The company files periodic and current reports, proxy statements, and other documents with the U.S. Securities and Exchange Commission. Recent Form 8-K filings cover earnings announcements, investor presentations, leadership changes, and stockholder meeting results. An 8-K/A filing in December 2025 corrected a customer count metric in a prior earnings release, illustrating the company’s process for updating previously furnished information.