Datadog Revenue Jumps 36% as AI Workloads Drive Platform Expansion
The observability platform provider beat guidance with $1.12 billion in Q2 revenue, fueled by AI-native customers and accelerating growth among traditional clients.
Strong Beat Amid AI Momentum
Datadog reported second-quarter revenue of $1.12 billion, up 36% year-over-year and above the high end of guidance, as the cloud monitoring platform capitalized on surging demand from both AI-native startups and traditional enterprise customers adopting artificial intelligence workloads (earnings call, 2026-08-06).
The New York-based company ended Q2 with approximately 33,400 customers, up from 31,400 a year earlier, while customers generating annual recurring revenue of $100,000 or more climbed to 4,720 from 3,850. These larger customers now represent about 91% of ARR. Free cash flow reached $279 million, translating to a 25% margin.
AI Becomes Multi-Faceted Growth Driver
CEO Olivier Pomel emphasized that AI has emerged as a significant tailwind beyond the company's traditional cloud migration drivers. "As of Q2, over 750 AI customers use Datadog to monitor and improve their tech stacks," Pomel said, noting that all 10 of the largest AI companies are Datadog customers (earnings call, 2026-08-06).
Significantly, revenue growth from non-AI customers also accelerated to the high 20% range year-over-year, up from mid-20s in the prior quarter, suggesting broad-based strength as traditional enterprises incorporate AI into their operations.
The company highlighted explosive growth in agentic AI activity, with MCP connections "quadrupling again quarter-over-quarter and growing more than 22x when compared to Q4 2025" (earnings call, 2026-08-06).
Platform Consolidation Deepens
Datadog's multi-product strategy continued gaining traction. Some 58% of customers now use four or more products, up from 52% a year ago, while 37% use six or more products versus 29% previously. Customers deploying 10 or more products reached 13%, nearly doubling from 7% (earnings call, 2026-08-06).
Real User Monitoring (RUM) crossed $200 million in ARR and accelerated to over 50% growth year-over-year. The company closed several notable deals, including a nine-figure renewal with a leading AI company, though Pomel noted this customer faces "a usage reduction starting in Q3" that has been incorporated into guidance.
Other wins included a seven-figure deal with two new AI labs scaling model training workloads, and a multiyear contract exceeding $30 million in total contract value with one of the world's largest online media companies.
Product Innovation Across AI Stack
At its June DASH user conference, Datadog unveiled over 100 new products and features, including expanded Bits AI capabilities to automate DevOps workflows, AI Guard for runtime security protections, and Bring Your Own Cloud (BYOC) functionality allowing customers to use Datadog on data within their own infrastructure.
The company also closed its acquisition of Adaptive ML in June to accelerate AI research efforts, building on its Toto time-series model that Pomel described as "state-of-the-art on key benchmarks" with demonstrated scalability (earnings call, 2026-08-06).
MarginX data shows CEO Olivier Pomel recently sold shares totaling approximately 130,000 through conversion and sale transactions. The company is scheduled to present at Canaccord Genuity's 46th Annual Growth Conference on August 12.
This article was generated by MarginX from the earnings call on 2026-08-06. It is not investment advice.