MongoDB, Inc. develops a document-oriented database and unified data platform for modern applications. Company news commonly covers MongoDB Atlas, its fully managed cloud offering; MongoDB Enterprise Advanced, its self-managed enterprise product; and platform capabilities spanning operational data, search, real-time analytics, vector search, embeddings, and AI-powered data retrieval.
Recurring updates include quarterly earnings announcements, Atlas revenue trends, product releases tied to AI agent workloads, customer adoption, executive and product leadership changes, investor presentations, and expansion of engineering and customer-facing operations. The company serves developers and enterprise customers across industries through a cloud and software platform model.
MongoDB (NASDAQ: MDB) will report third-quarter fiscal 2027 results after U.S. financial markets close on December 1, 2026. The results cover the three months ended October 31, 2026. A conference call at 5:00 p.m. Eastern Time that day will discuss financial results and the business outlook. A live webcast and a limited-time replay will be available on the company's investor relations website.
MongoDB (MDB) made MongoDB 9.0 generally available and introduced Atlas Infinite in public preview as a new Atlas deployment option.
Benchmarks against MongoDB 8.0 show up to 2x throughput on large instances, up to 35% faster find-one queries and up to 30% faster update-one queries. Atlas Infinite separates compute and storage so they can scale independently. In internal tests using MongoDB 9.0, it delivered 189% more throughput per dollar than the existing offering, now called Atlas Core. The preview is available on AWS, with pricing tied to actual compute and storage consumption.
MongoDB (MDB) launched Atlas Agent Engine in public preview, bringing AI-agent execution, memory and governance into its Atlas platform.
Atlas Agent Runtime and Atlas Agent Memory have consumption-based pricing, with usage drawing on customers’ existing Atlas commitments rather than requiring a new contract. Customers can use the memory and governance layers independently or with the runtime, alongside their existing models and frameworks. MongoDB also announced MongoDB 9.0 and Atlas Infinite at its Investor Day.
MongoDB (MDB) and Cognition launched Devin for MongoDB Modernizations, connecting Cognition’s AI software engineer with MongoDB’s Application Modernization Platform.
Devin handles migration planning and code changes, while MongoDB’s tools move and validate data in Atlas. Engineers retain control over decisions such as the target data model and the order of cutover. In early joint testing, work that previously took five to six hours took just over an hour. The offering is available now to MongoDB and Cognition customers.
MongoDB (MDB) named Dev Ittycheria interim president and CEO after Chirantan “CJ” Desai stepped down, effective immediately. Desai is leaving to pursue a senior role at Meta Platforms. Ittycheria previously held MongoDB’s president and CEO roles from 2014 to 2025.
The board has begun searching for a permanent CEO and retained an executive search firm to assist. MongoDB reaffirmed its third-quarter and full-year fiscal 2027 guidance issued on September 1, 2026, without providing figures in this announcement.
MongoDB also plans to hold an Investor Day at Nasdaq MarketSite on September 29, from 11:00 a.m. to 3:15 p.m. ET, where its leadership team will discuss its long-term strategy and products.
Glidepath Health (MDB) launched from stealth with an AI-driven platform to coordinate the complex logistics of cell and gene therapy delivery, supported by an exclusive technology license from Memorial Sloan Kettering Cancer Center (MSK) for the ImmunoChain clinical supply chain system.
The platform connects people, systems, and workflows to maintain chain of identity and custody, jointly schedule apheresis and manufacturing, and give treatment centers, sponsors, and manufacturers a shared, real-time view of each patient journey. Glidepath Health is backed by AlleyCorp and A-Squared Ventures, whose representatives have joined its board. The company is working with leading treatment centers and major pharma and biotech companies, with initial live patient deployments planned for this year.
MongoDB (MDB)/b) will host an investor day in New York City on September 29, 2026.The event, led by MongoDB's executive team, will run from 11:00 a.m. to 3:30 p.m. ET. It will be webcast live, and a replay will be available on the company’s Investor Relations website at https://investors.mongodb.com.
MongoDB (MDB) will present at three investor conferences in September 2026: Citi 2026 Global TMT, Goldman Sachs Communacopia + Technology, and Piper Sandler Growth Frontiers.
The company will present on September 9 at 8:50 AM Eastern, September 10 at 10:10 AM Pacific (1:10 PM Eastern), and September 15 at 11:30 AM Central (12:30 PM Eastern). Live webcasts and limited-time replays will be available on MongoDB's investor relations events page.
MongoDB (NASDAQ: MDB) reported second quarter fiscal 2027 revenue of $771.8 million, up 30% year-over-year, with subscription revenue of $747.1 million (+31%) and services revenue of $24.6 million (+29%). Atlas revenue grew approximately 29% and Enterprise Advanced & other revenue grew approximately 36%.
GAAP income from operations was $28.4 million, compared to a $65.3 million loss a year earlier, while non-GAAP income from operations rose to $185.9 million. GAAP net income was $40.9 million versus a $47.0 million loss, and non-GAAP net income reached $162.6 million ($1.90 per share). Gross margin improved to 74% (non-GAAP 76%).
Remaining performance obligations increased 91% to $1.52 billion and free cash flow nearly doubled to $137.6 million. MongoDB ended the quarter with $2.4 billion in cash and investments. The company raised full-year fiscal 2027 guidance, now expecting revenue of $2.99–$3.03 billion and non-GAAP operating income of $616.3–$636.3 million.
MongoDB (NASDAQ: MDB) introduced new Atlas capabilities aimed at delivering high-precision context retrieval for AI applications and agents by running retrieval directly on live operational data. The release centers on Automated Embeddings in MongoDB Atlas powered by Voyage AI models, the Atlas Embedding and Reranking API, the voyage-code-4 model for code retrieval, and vector search in Atlas Stream Processing.
According to MongoDB, its Voyage AI embedding models rank first on the Retrieval Embedding Benchmark (RTEB) and are now accessible via a standalone API, including to apps outside MongoDB. Automated Embeddings continuously embed and re-embed documents as they change, while voyage-code-4 targets coding agents with higher-precision, lower-cost code retrieval. The company highlighted use cases at the Financial Times and legal AI platform Eve, and announced new integrations with tools such as Claude, ChatGPT, Grok Build, Devin, and the MongoDB Atlas Managed MCP Server. The features are generally available today.