Please refer to the tables in our earnings release on the investor relations portion of our website for a reconciliation of these measures to the most directly comparable GAAP financial measures. Number two, surface new pipeline by helping customers connect their most pressing modernization and AI opportunities to power what MongoDB can uniquely solve. As you heard from other software companies, these two opportunities are not distinct and in fact reinforce each other. We generated total revenue of $688 million, up 25% year-over-year, beating the high end of guidance and accelerating from the 22% growth we reported in fiscal Q1 of the prior two years.
Top-line strength was driven by Atlas, which grew 29.4% year-over-year, including a record $117 million year-over-year growth. Now at a $2 billion run rate, this is the fourth quarter in a row Atlas delivered year-over-year growth of at least 25%. We delivered a non-GAAP operating margin of 18% above the high end of the guidance. Voyage customers have more than doubled quarter-over-quarter, and vector search adoption is far outpacing overall company growth.
These customers are choosing MongoDB as the foundation for their AI products from day one because the data layer determines if you can scale to support rapid growth. Endor selected Atlas as its default database to support 225% year-over-year revenue growth. After evaluating DynamoDB and DocumentDB, they chose Atlas for its aggregation pipeline, write consistency, and flexible schema. Built natively into the platform, MongoDB's innovations in the core database, embeddings, and vector capabilities are moving us beyond a system of record to becoming the real-time system of intelligence.
| Metric | Period | Current guidance |
|---|---|---|
| Full-year FY2027 outlook | FY2027 | raised across the board (raised) |
| Q2 guidance (Atlas) | Q2 FY2027 | guided consistent with the framework of the past two quarters, off a strong Q1 consumption |
| EA and other growth | H2 FY2027 | roughly flat year-over-year (driven by tough FY2026 Q4 comparison) |
| Metric | YoY | Note |
|---|---|---|
| Total revenue | +25% | Driven by Atlas, beating the high end of guidance and accelerating from 22% in the prior two years' Q1. |
| Atlas revenue | +29.4% | Stronger-than-expected consumption, with strength in use cases at established enterprise customers across financial services, technology, and media, plus early AI deployments and Frontier Labs/AI-native momentum. |
| EA and other revenue | +13% | Existing customers across industries, particularly finance and technology, expanding on-prem footprints for traditional and AI applications. |
| EA and other ARR | +11% | Underlying revenue growth normalized for duration impacts. |
| Operating margin | 18% vs 16% | Benefited primarily from revenue strength, driven mainly by Atlas. |
| Net ARR expansion rate | 121% vs 119% a year ago | Ongoing momentum from platform adoption and move up-market. |
| $100K+ ARR customers | +16% | 2,895 customers, with revenue growth from this cohort outpacing total company growth. |
| Topic | Previous mention | Current period | Trend |
|---|---|---|---|
| Atlas momentum | crossed $2 billion run rate in Q4 | record $117 million net new, fourth straight quarter of 25%+ growth, fifth straight quarter of YoY dollar growth | Improving |
| AI/agentic adoption | Vector Search customers doubled, Voyage doubled since acquisition | MCP server usage growing significantly, Voyage customers more than doubled QoQ, vector search far outpacing company growth; still early but accelerating | Improving/early |
| MongoDB as agent memory layer | — | emerging pattern of customers (e.g., Adobe Journey Agent) choosing MongoDB as transactional long-term memory and reasoning layer for AI agents | Emerging |
| Strategic platform decision vs workload-by-workload | workload-by-workload evaluation | MongoDB becoming a strategic platform decision (e.g., Zoom standardizing on EA) | Improving |
| U.S. federal vertical | small, under-invested | acquired Clarity Business Solutions, FedRAMP High certification expected this year, large TAM | Improving |
| Frontier Labs | — | multiple Frontier Labs selected MongoDB for mission-critical, demanding use cases; early but expanding | Emerging |
| Go-to-market leadership | CRO search ongoing | new CRO (Ryan Mac Ban) in place; no significant changes expected for remainder of FY2027 | Stable |