MongoDB (MDB) Morgan Stanley Technology, Media & Telecom Conference 2026 summary

Customer value and platform differentiation

• Infrastructure software enables mission-critical applications across industries, supporting both AI-native and traditional enterprises.

• Unique multi-cloud capabilities allow seamless operation across major cloud providers, enhancing resiliency and global reach.

• Platform supports unstructured data, vector search, and high performance for both reads and writes, making it attractive for next-gen AI applications.

• Developer-friendly architecture and flexible data model drive adoption among startups and large enterprises alike.

• Growing customer base, with 65,200 customers and 60% new customer growth in fiscal 2026, underpins future expansion.

Financial performance and guidance

• Achieved 27% revenue growth in Q4, with Atlas growing 29% and non-Atlas business accelerating to 20%.

• Large bundled deal in Q4 impacted Atlas growth allocation, but normalized Atlas growth remains at 30%.

• RPO nearly doubled to $1.47 billion, with current RPO up 74%, reflecting strong long-term customer commitments.

• Fiscal 2027 guidance targets 17% overall growth, with Atlas expected to start at 26% and end at 21-23%.

• Multiple growth drivers identified, including AI adoption, enterprise migrations, and international expansion.

Strategic growth initiatives

• Clear path to $5 billion+ revenue through sustained Atlas growth, durable EA business, and new product introductions.

• Investments planned for entry into Japan and deeper public sector engagement.

• Focus remains on core data platform, with selective expansion into adjacent areas driven by customer demand and AI innovation.

• Partnerships with leading AI companies like Anthropic, LangChain, and Vercel validate platform and open new AI workload opportunities.

• Ongoing R&D and platform enhancements aim to serve both human and machine developers, supporting autonomous scaling and ease of use.