Datadog delivered a strong Q3 2025 with revenue of $886 million, up 28% year-over-year, significantly beating the high end of guidance and accelerating from prior quarters. Operating income reached $207 million with a 23% margin, while free cash flow was $214 million (24% margin). Key performance drivers included a doubling of new logo bookings, acceleration in non-AI native customer growth to 20% year-over-year, and robust expansion within the AI native cohort (now 12% of revenue). The company raised its full-year 2025 revenue guidance to $3.386-$3.390 billion (26% growth) and projected Q4 revenue of $912-$916 million (24% growth). Strategic momentum is underpinned by deepening platform adoption (84% of customers use 2+ products) and rapid growth in Security (mid-50s% ARR growth) and Digital Experience (> $300M ARR). Management highlighted the early success of Bits AI agents and LLM observability tools as key differentiators for future monetization.
| Metric | Value | Change |
|---|---|---|
| Revenue | $886 million | +28% YoY |
| Operating Income | $207 million | 23% Margin |
| Free Cash Flow | $214 million | 24% Margin |
| RPO (Remaining Performance Obligations) | $2.79 billion | +53% YoY |
| Net Revenue Retention | 120% | Stable |
| Customers (Total) | ~32,000 | +2,800 YoY |
| Customers >$100k ARR | ~4,060 | +570 YoY |
| Non-AI Native Revenue Growth | 20% | +200 bps QoQ |
Datadog is successfully leveraging AI to drive platform adoption rather than just monitoring AI workloads. The company reported that LLM spans sent to Datadog have 'more than quadrupled,' and over 5,000 customers are sending AI data. The launch of Bits AI agents and the Datadog MCP server is deepening integration into customer workflows, with one user noting they are 'hooked on Datadog' due to the root cause analysis capabilities. This positions Datadog as an operational layer for AI, not just an observer.
The acceleration in the non-AI native customer base (20% YoY growth, up from 18% in Q2) signals a broad-based recovery in enterprise IT spending beyond just the AI cohort. Management attributed this to a 'positive demand environment,' the payoff from recent sales capacity investments, and the success of new products like Flex Logs and Product Analytics. This diversification reduces reliance on a single customer segment and supports the sustainability of the 26%+ growth rate.
Security is rapidly becoming a major growth pillar, with ARR growth accelerating to the 'mid-50s' percentage year-over-year, up from mid-40s last quarter. Management cited specific success in displacing legacy SIEM solutions with Cloud SIEM, winning 7-figure deals by leveraging the efficiency of Datadog's underlying infrastructure (Flex Logs). The integration of Bits AI for automated security triage is acting as a force multiplier for sales in this category.
Datadog's platform strategy is driving capital-efficient growth. Gross margins remained strong at 81.2% despite the mix shift, attributed to engineering efficiency projects. The 'land-and-expand' motion is highly effective, with 54% of customers now using 4+ products. The company noted that new customers are ramping faster, contributing 25% of YoY growth (up from 20% in Q2), indicating improved sales productivity and product stickiness.
While AI is a major narrative, direct monetization of GPU monitoring remains nascent. CEO Olivier Pomel explicitly stated that GPU monitoring products 'don't generate any significant revenue yet.' The current financial upside from AI customers is largely derived from monitoring the CPU/infrastructure surrounding GPUs (e.g., databases, load balancers) rather than the expensive GPUs themselves. Investors expecting immediate top-line leverage from the GPU boom may be disappointed until these specific products mature.
The consumption-based revenue model introduces inherent volatility and forecasting difficulty. Management admitted, 'The hardest thing to understand is what the future is going to look like for consumption,' noting that ebbs and flows occur monthly. While current trends are strong, a sudden slowdown in usage or cloud optimization cycles could impact future results, as seen in previous years for cloud infrastructure companies.
Operating expenses grew 32% year-over-year, outpacing revenue growth slightly (28%). While management frames this as necessary investment in sales capacity and R&D for long-term growth, sustained high OpEx growth could pressure margins if the demand environment softens. The company guided for a flat operating margin of 22% for the full year, suggesting continued heavy investment.
Overall: Management exhibited a high degree of confidence and enthusiasm throughout the call, frequently characterizing the quarter as 'spectacular' and 'very strong.' Olivier Pomel, CEO, displayed a notably assured demeanor, even jokingly apologizing for 'over delivering' on results, while the CFO provided detailed, data-driven backing to the growth story. The tone shifted from purely celebratory to strategically focused during Q&A, where they articulated clear drivers behind the non-AI acceleration without hedging on the sustainability of the trends.
Confidence: HIGH - Management's confidence was evidenced by the significant upward revision to full-year guidance (from ~19% expected growth at the start of the year to >26% currently), specific commentary on sales productivity improvements, and the assertion that the re-acceleration in non-AI segments is broad-based and durable. The language used was definitive regarding product-market fit and the success of new go-to-market motions.
$912 million to $916 million (24% YoY growth)
$3.386 billion to $3.390 billion (26% YoY growth)
24%
22%
$2.00 to $2.02
Hedging & Uncertainty: Management generally used direct and confident language ('We executed a very strong Q3', 'We are incredibly excited'), but employed standard hedging regarding forward-looking visibility. The CEO used temporal hedges when discussing consumption patterns: 'Now with ebbs and flow in any given month or quarter, that's harder to tell.' This acknowledges the inherent unpredictability of their business model without signaling alarm. They also used probability hedging regarding the AI cohort's relevance: 'over time, we think this metric will become less relevant,' subtly preparing investors for a future where AI is ubiquitous rather than a separate category.
I apologize for over delivering on the results. We might do it again, but we'll see. - Olivier Pomel, Co-Founder and CEO
The hardest thing to understand is what the future is going to look like for consumption. - Olivier Pomel, Co-Founder and CEO
We have a very strong Q3... new logo annualized bookings more than doubled year-over-year. - David Obstler, CFO
We are incredibly excited about our opportunities. - Olivier Pomel, Co-Founder and CEO
We feel very confident about the motion in general for digital transformation and cloud migration. - Olivier Pomel, Co-Founder and CEO
So we have products that are getting into the market now for GPU monitoring. But these don't generate any significant revenue yet. - Olivier Pomel, Co-Founder and CEO
Analyst Sentiment: Analysts were exceptionally positive, frequently congratulating management on 'spectacular' and 'amazing' results. Questions focused heavily on the sustainability of the non-AI acceleration, the mechanics of the large AI customer renewal, and the monetization timeline for GPU monitoring and Bits AI.
Management Responses: Management was forthcoming with details, breaking down the drivers of the non-AI acceleration (sales capacity, product clicks, demand environment) and explaining the 'better economics' of the large renewal as standard volume discounting behavior. They maintained a confident tone on the long-term monetization of AI despite current GPU revenue being immaterial.
Discussion on the drivers of non-AI native growth acceleration, with management attributing it to broad-based demand, new sales capacity, and product success (Flex Logs, Analytics).
Inquiry into the 'better economics' of the largest AI customer renewal, clarified as standard volume-based discounting for higher commitments.
Questions regarding the timeline for GPU monitoring revenue, with management stating it is not yet significant but represents a future opportunity.
Interest in the competitive landscape of Agentic AI and observability, with management asserting the need for a unified platform.
Details on sales productivity and quota attainment, with management noting they are scaling capacity while maintaining productivity.
Datadog is firing on all cylinders, successfully executing a 'barbell' strategy where it captures growth from both the hyper-scale AI native cohort and the re-accelerating traditional enterprise base. The 28% revenue growth and significant guidance raise (to 26% for the year) demonstrate that the company is gaining share and expanding wallet share through its platform strategy (84% multi-product rate). The introduction of Bits AI and the rapid adoption of LLM observability provide a strong competitive moat and a clear path for future monetization as AI workloads move from experimentation to production. While GPU monitoring is a future opportunity, the current momentum in Security and core infrastructure monitoring provides durable growth. The re-acceleration of non-AI growth to 20% is the most critical signal, proving that Datadog's growth is not solely dependent on a few AI hype names but on secular cloud adoption trends.
Management characterized the demand environment as 'positive' with 'ongoing strength of cloud migration.' They noted that while they don't see massive acceleration, the environment is 'not pushing the other way,' indicating stability in enterprise IT spending.
AI adoption is growing faster than anticipated at the start of the year. The number of AI native customers spending over $1M has grown to 15, and LLM usage (spans) has quadrupled in recent months, indicating rapid production deployment of AI technologies.
There is a 'strengthening SMB demand cycle' and broad-based demand across spending bands (enterprise and SMB), suggesting that IT budget scrutiny may be easing compared to previous quarters.