MongoDB (NASDAQ:MDB) used its 2026 Investor Day to outline a leadership transition, new AI-focused product launches and updated long-term financial targets, with executives emphasizing continued investment in enterprise sales, partnerships and application modernization.
Chief Financial Officer Mike Berry said former CEO CJ resigned last Friday to take a role at Meta, and the board named former longtime CEO Dev Ittycheria as interim president and CEO while it searches for a permanent successor. Berry said the company expects “business as usual” during the transition and described MongoDB as being supported by a broader management team rather than any one individual.
AI Strategy Centers on Data, Scale and Flexibility
Ittycheria framed MongoDB’s strategy as an effort to become an “intelligent data platform,” arguing that AI and agentic applications need fresh operational data, precise retrieval, elastic scaling, state management and governance. He said AI represents a tailwind for the company because it can create more software workloads, introduce new workloads involving agents and memory, and expand MongoDB’s customer base among AI-native companies and frontier labs.
The company cited its JSON document model, retrieval capabilities, security tools and ability to run across cloud and self-managed environments as differentiators. Ittycheria said customers are increasingly selective about where AI workloads run because of intellectual-property protection, data residency and sovereignty concerns.
Ben Cefalo, MongoDB’s chief product officer for core products, said the company is continuing to invest in Enterprise Advanced, its self-managed offering, alongside the Atlas cloud service. He said customers in regulated industries and geographies with specific data requirements need deployment flexibility, while companies also want protection against dependence on a single environment.
Cefalo said MongoDB 9.0 delivers performance improvements including up to 20% higher transactional throughput, 35% faster reads, 30% faster updates and twice the throughput on larger instances. The release also expands the company’s Queryable Encryption capability, which allows customers to query encrypted data while retaining encryption of the data and query.
Atlas Infinite and Agent Engine Announced
MongoDB also introduced Atlas Infinite, a new Atlas deployment option that separates compute from storage. Cefalo said the architecture is designed to handle bursty and unpredictable agent-driven workloads by allowing compute and storage to scale independently. Atlas Infinite is in public preview on AWS, according to management, while the existing Atlas offering is being renamed Atlas Core Database.
The company said Atlas Infinite has been in private preview with customers including Icon Solutions, PicPay and Carrier. Cefalo said the offering is intended to support elastic scaling, tunable performance and reduced capacity-planning complexity, though it is not a separate database requiring application code changes.
Pablo Stern-Plaza, chief product officer for AI and emerging products, announced Atlas Agent Engine, an agentic infrastructure product that combines persistent memory, security guardrails, governance and runtime capabilities. The offering is designed to work across clouds, models, frameworks and data sources, management said.
Stern-Plaza said Agent Engine is available to existing Atlas customers through public preview. He said the product can create monetization opportunities through agent runtime and memory services while also driving Atlas consumption. Management expects the product to become generally available later in the current fiscal year or early in the following year.
Citizens Bank SVP and Head of Data Platform Vikas Agarwal said the bank is using MongoDB Atlas for tier-one applications and is exploring multi-agent systems for platform resiliency and issue identification. He said the Agent Engine memory capabilities, flexible model choices and security features were particularly relevant for the bank’s use cases.
Go-to-Market and Partnership Investment
Chief Revenue Officer Ryan Mac Ban said MongoDB plans to increase its focus on enterprise executive buyers, AI and digital-native customers, product specialization and application modernization. The company is also targeting growth in U.S. federal, Asia-Pacific and Japan markets, he said.
Mac Ban said MongoDB’s application modernization platform, combined with AI tooling and partners such as Cognition, is intended to reduce the cost and time required to migrate legacy Oracle, SQL and relational workloads. Ittycheria said advances in AI model capability have improved the viability of modernization initiatives that had previously been difficult because rewriting application logic was complex.
Chief Customer Officer Erica Volini said the company is expanding its partner ecosystem across coding agents, AI platforms, systems integrators, hyperscalers, neoclouds and independent software vendors. She said roughly half of MongoDB revenue is supported by a hyperscaler partner and marketplace revenue is growing faster than overall revenue year over year.
Updated Financial Targets
Berry said MongoDB met or exceeded the commitments it outlined at its prior investor day. Atlas revenue grew about 29% in fiscal 2026, while the company’s fiscal 2027 guidance calls for approximately 27% Atlas growth. Enterprise Advanced and other revenue grew 7% in fiscal 2026, and the fiscal 2027 outlook implies 11% growth.
For the longer term, MongoDB shortened its target horizon from three-to-five years to three years and raised several growth objectives:
- Total revenue growth of more than 20%.
- Atlas revenue growth in the mid-20% range.
- Enterprise Advanced and other ARR growth of more than 10%.
- Annual non-GAAP operating-margin expansion of 100 to 200 basis points.
- Free-cash-flow conversion of 80% to 100% of non-GAAP operating income.
Berry said MongoDB expects to remain GAAP profitable beyond fiscal 2027 and aims to approach a Rule of 50 profile by the end of the three-year period, though he did not formally commit to that outcome. He also said the board approved an additional $1 billion for the company’s share-repurchase plan.
Management said AI-native and frontier-lab customers account for roughly 3% to 5% of Atlas revenue, but that revenue from the cohort grew 165% year over year. Berry said the company views the segment as small but rapidly expanding, while its larger enterprise customers continue to be a major source of expansion, cross-selling and new workload adoption.
About MongoDB (NASDAQ:MDB)
MongoDB, Inc develops and provides a general-purpose, document-oriented database platform. Its technology is designed to help organizations store, manage and analyze structured and unstructured data for applications such as artificial intelligence, analytics, mobile services, e-commerce and enterprise software.
The company’s principal offering is MongoDB Atlas, a fully managed cloud database service available across major cloud infrastructure providers. MongoDB also offers Enterprise Advanced, which provides commercial database software, security, operational controls and support for organizations running databases in their own environments or across hybrid and multicloud infrastructures.
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