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Edge16 Oct 2026
Winner, Winner: The Chicken McNugget Story
How a 1940s breeding contest, a Cornell food scientist, and a hedge by Ray Dalio helped McDonald's turn the Chicken McNugget into a fast-food icon.
MongoDB
MongoDB (MDB) investor relations material
MongoDB Investor Day 2026 summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Investor Day 2026 summary29 Sep, 2026
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.
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Latest events from MongoDB
- AI-driven innovation and dual cloud/self-managed growth are accelerating enterprise adoption and modernization.MDB
Goldman Sachs Communacopia + Technology Conference 2026 - AI-driven platform growth, robust financials, and raised FY27 outlook signal strong momentum.MDBInvestor presentation
- Growth is accelerating across both self-managed and cloud, fueled by AI innovation and operational discipline.MDBPiper Sandler 5th Annual Growth Frontiers Conference
- Record revenue growth and AI-driven adoption highlight strong momentum and product innovation.MDBCiti’s 2026 Global TMT Conference
- Q2 FY27 revenue up 30% to $771.8M, Atlas up 29%, margin at 24%, guidance raised.MDBQ2 2027
- Unified, flexible data platforms and real-time context are essential for scalable, reliable AI agents.MDBThe Six Five Summit: AI Unleashed 2026
- AI-driven innovation, PLG, and AMP fuel durable growth and margin expansion in a $100B+ market.MDBInvestor Day 2025
- AI-driven innovation and strategic execution are accelerating growth and expanding market opportunity.MDBPiper Sandler 4th Annual Growth Frontiers Conference
- Q1 revenue up 22% YoY, Atlas up 26%, $1B buyback, and $160.9M AI acquisition completed.MDBQ1 2026
Next MongoDB earnings date
Q3 20271 Dec, 2026
MongoDB
Next MongoDB earnings date
Q3 20271 Dec, 2026
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Frequently asked questions
A Humongous Database
MongoDB Inc. is an American software company specializing in database technology. Founded in 2007, MongoDB's namesake NoSQL database has improved the ways in which businesses handle vast amounts of data, offering flexible and scalable solutions that can accommodate the ever-evolving data needs of 21st-century businesses. With its non-relational approach to data storage and its commitment to improving data accessibility, MongoDB has established a place at the forefront of the database technology industry.
Foundation and Evolution
Founded in New York in 2007 by DoubleClick's team (Dwight Merriman, Eliot Horowitz, and Kevin P. Ryan), MongoDB started as a part of the open-source development company, 10gen. Originally, the company intended to develop a platform as a service product, but by 2009 they open-sourced their technology and shifted the focus to their groundbreaking NoSQL database, MongoDB. The name 'MongoDB' comes from the word 'humongous', reflecting the company's aim to deal with large-scale, complex data. The initial release of MongoDB was in 2009, with the company becoming a darling of developers who were looking for a database system that was scalable, flexible, and could handle the vast amounts of unstructured data being generated.
Product Offering
MongoDB's main product is its NoSQL database system, which has become commonly utilized for businesses dealing with large and complex data sets. Unlike traditional relational databases that use tables for data storage, MongoDB employs a document-oriented database model, allowing it to store large amounts of unstructured data.
With its flexible schema, MongoDB allows developers to store records without needing to define the structure, such as the number of fields or types of data, beforehand. This agility makes it suitable for use cases that need to adapt quickly to changing requirements. MongoDB's products are available on-premises or in the cloud with MongoDB Atlas, a fully-managed cloud database service.
An Impressive List of Customers
MongoDB's versatile and robust database solution has found acceptance across a wide range of industries, from startups to Fortune 500 companies. The company boasts a customer base that includes industry giants like Adobe, eBay, Google, and more.
Its flexibility makes it a go-to choice for businesses dealing with vast quantities of data that isn't suited to traditional, structured storage methods. MongoDB has found applications in fields such as content management, mobile and social infrastructures, real-time analytics, and high-speed logging, to name a few.