- May 28, 2026

The Good Strong Revenue Growth:

Total revenue of $688M, up 25% YoY, beating the high end of guidance and accelerating from 22% growth in prior years.

Atlas, their cloud product, grew 29.4% YoY, with a record $117M YoY dollar growth and now a $2B run rate.

EA and other (non-Atlas) grew 13% YoY.

Over 2.5K new customers added in Q1, now at 67.7K customers.

Profitability and Margins:

Non-GAAP operating margin of 18%, above guidance.

Second consecutive quarter of GAAP profitability.

Non-GAAP net income of $112M ($1.32 per share) vs. $86M ($1.00) YoY.

Free cash flow of $198M ($106M last year).

AI & Platform Adoption:

Accelerating AI adoption across customer base: strong growth in vector search usage and “Voyage” customers more than doubled.

MongoDB increasingly chosen as a strategic platform for both core and AI workloads.

Notable customer examples (Zoom, Andor Labs, Zomato, Adobe) choosing MongoDB for mission-critical, high-scale, agentic, and AI-driven workloads.

Product & Market Position:

MongoDB 8.3 delivers up to 45% more reads, 35% more writes, 15% more ACID transactions over 8.0.

Increasing integrations with LangChain and AI developer tools.

Large, expanding enterprise and federal government opportunities, including acquisition of ClarityDB for US federal vertical.

Continued investment in AI capabilities and high-value features.

Guidance & Outlook:

Raised full-year revenue growth guidance to 23–25% for Atlas; 19–20% for total company.

Targeting “Rule of 40” performance (20% growth + 20% margin).

Q2 and full-year profitability and revenue outlooks raised.

The Bad Slowing EA and Other Revenue Growth:

EA and other growth expected to be “mid single digits” for the year, and approximately flat in the second half due to tough comps.

Growth here is less predictable and more dependent on timing of large multi-year deals.

Gross Margin Compression:

Total non-GAAP gross margin was 74.5%, down 100 bps sequentially and subscription gross margin down 170 bps QoQ, mainly due to product mix and seasonality.

AI Contribution Still Early:

Despite rapid AI adoption, most growth is still driven by core (non-AI) workloads. AI workloads are “early,” with potential, but not yet a material revenue driver.

Customer Count Fluctuation:

Management notes the customer count metric “will fluctuate from quarter to quarter” — not a super consistent growth lever.

Heavy Reliance on Large Deals for EA:

Revenue visibility and predictability for EA and other is lower, as guidance only includes deals with high probability of closing.

The Ugly No Major Red Flags, But Some Risks:

Dependency on Atlas: Now 75% of revenue, so any slowdown in cloud expansion or cloud customer consumption could disproportionately impact results.

EA Revenue Flatness: EA is still a meaningful part of the business; flat growth in H2 and tough compares could weigh on reported results.

Competition: Implied, not stated—MongoDB’s move into AI and agentic workloads puts it in the crosshairs with hyper…

为什么值得关注

提供了用户原本不知道的新信息；能改变理解方式，而不只是重复常识；它带来了新的事实、进展或信息，不是在重复旧内容

来源：reddit，领域：tech，保留分：0.70