Datadog posts first‑ever billion‑dollar quarter

Datadog reported first-quarter revenue of $1.006 billion on May 7, the first time the software company has crossed the billion-dollar mark in a quarter. The New York-based company also raised its full-year 2026 outlook after saying demand broadened across both AI-related and non-AI customer cohorts. Shares jumped after the results, and the quarter added fresh evidence that monitoring and security software remain a growing layer of enterprise cloud spending. Chief Executive Olivier Pomel said the company was helping customers deploy “modern, cloud-based, AI-enabled solutions” and was using AI to build across its own platform. ### How big was the quarter, exactly? Datadog said first-quarter revenue rose 32% from a year earlier to $1.006 billion. GAAP net income was $52.6 million, or $0.15 per diluted share, while non-GAAP net income was $0.60 per diluted share. Operating cash flow was $335 million and free cash flow was $289 million, according to the company’s earnings release. (investors.datadoghq.com) March 31 figures in the release showed cash, cash equivalents and marketable securities of $4.8 billion. Datadog also said non-GAAP operating income reached $223 million, for a 22% margin, compared with GAAP operating income of $7 million. ### What did Datadog say is driving demand? (investors.datadoghq.com) Olivier Pomel said in the earnings release that Datadog was seeing customers across industries deploy AI-enabled systems. The company tied part of that demand to newer products aimed at managing AI infrastructure, including GPU Monitoring, which it said is designed to track fleet health, cost and performance as companies scale AI projects. (investors.datadoghq.com) Datadog also used the quarter to highlight newer security and developer tools. The company said it launched MCP Server, Bits AI Security Agent and Experiments for general availability, alongside GPU Monitoring. Those additions point to a broader product push around application monitoring, security operations and AI workload management inside the same platform. (investors.datadoghq.com) ### Which customers mattered most in the report? Datadog said it had about 4,550 customers with annual recurring revenue of at least $100,000 as of March 31, up 21% from about 3,770 a year earlier. The company has long used that cohort as a marker of large-enterprise adoption, and the increase suggests bigger customers continued to expand spending even as software buyers remain selective. (investors.datadoghq.com) The company’s own research release, published during the quarter, said operational complexity had become a main barrier to reliable AI at scale. Datadog said nearly 5% of AI model requests fail in production and that close to 60% of those failures were caused by capacity limits, underscoring the case it is making to customers for more monitoring around AI systems. (investors.datadoghq.com) ### How much did Datadog raise its outlook? Datadog said it expects second-quarter 2026 revenue of $1.07 billion to $1.08 billion. For the full year, the company raised its revenue outlook to $4.30 billion to $4.34 billion, according to the earnings release. Reuters, in a report carried by MSN, said the company lifted its 2026 outlook after first-quarter revenue topped $1 billion for the first time and cited strong demand for AI-enabled cloud security and monitoring tools. (investors.datadoghq.com) Market commentary after the release also focused on the milestone as a sign of continued growth in observability software tied to AI adoption. (markets.businessinsider.com) ### Where does this leave the observability market? Datadog’s quarter arrives as companies weigh managed software platforms against self-hosted tools for monitoring costs and performance. Datadog’s results show that large enterprises are still committing budget to commercial observability platforms, particularly where AI workloads add complexity across infrastructure, applications and security operations. That reading is supported by the company’s customer growth and by management’s decision to raise guidance. (msn.com) FedRAMP High certification was another concrete expansion point in the quarter. Datadog said the certification for Datadog for Government would allow U.S. government agencies and contractors to use the platform for sensitive workloads, adding a federal channel alongside its commercial enterprise business. (investors.datadoghq.com) June is the next dated milestone the company has identified. Pomel said Datadog plans to showcase its latest innovations at the DASH user conference that month, after reporting first-quarter results for the period ended March 31, 2026. (investors.datadoghq.com)