MongoDB (MDB) investor relations material

Leadership transition and priorities

• Dev Ittycheria was named interim President and CEO after CJ’s resignation; the board launched a permanent CEO search, with operations described as business as usual and focused on continuity and execution.

• Interim priorities include sustaining momentum, sharpening product and go-to-market execution, supporting employees and culture, and ensuring a smooth transition.

• The next CEO profile emphasizes building software companies and balancing technology expertise with customer acquisition and retention; the board and executive team will participate in the search.

Market opportunity and growth

• The database market is projected to grow from $93B in 2024 to $193B in 2030 at a 12% CAGR; current share is ~2.2% of TAM.

• Revenue has grown 5x since 2020, while customer count has grown 3x; management cited deeper workload adoption and broader use cases as expansion drivers.

• The customer base reached 70,600 in Q2 FY27, with large enterprise cohorts expanding rapidly and contributing to a move up-market.

• AI is viewed as a growth tailwind through more software workloads, new agent and knowledge-work use cases, and growth in AI-native and frontier-lab customers.

• Strategy is to build an intelligent data platform with native JSON, retrieval, security and run-anywhere flexibility for real-time context, precise retrieval, elastic scale and AI workload state.

Product innovation and AI

• MongoDB 9.0 delivers up to 20% higher transactional throughput, reads 35% faster, updates 30% faster and up to 2x throughput on larger instances versus v8.0.

• Atlas Infinite, in public preview, separates compute and storage for independent scaling and bursty AI workloads; GA is expected in early 2028, with meaningful revenue expected in 2029.

• Atlas Agent Engine is in public preview with agent memory, security guardrails and governance, while letting builders choose models, frameworks, clouds and data sources; GA is expected later in FY27 or early FY28.

• Agent Engine is available to existing Atlas customers in preview; monetization is expected through runtime and memory, plus increased Atlas consumption, with momentum expected in FY28.

• Enterprise Advanced added Search and Vector Search for self-managed deployments; continued investment aims to bring more cloud capabilities to self-managed products and expand run-anywhere options.