Datadog, Inc.
Cloud Observability and Security — Infrastructure MonitoringFounded 2010- Updated July 2025
Reviewed by Swet Parvadiya
Last reviewed: July 2025
CorpDigest
Datadog, Inc.
Company History
Founded 2010 in New York City, New York
Last reviewed: 2025-07-15 · By Swet Parvadiya
Datadog's most important fact right now is that it achieved its first $1 billion revenue quarter in Q1 fiscal 2026 while embedding three autonomous AI agents across its unified observability and security platform, with the company processing trillions of data points daily across over 1,000 integrations and serving more than 28,000 customers globally. This combination of scale, AI transformation, and unified platform architecture positions Datadog at an inflection point where its observability platform — built from the ground up for cloud-native infrastructure — is evolving into an AI-powered operations engine that automates incident detection, investigation, and remediation. The company generated $3.43 billion in fiscal 2025 revenue, with trailing twelve-month revenue reaching $3.67 billion and free cash flow of $936.7 million. The platform's unified data model, where metrics, traces, logs, security signals, and cost data live in a single correlated database, creates a structural advantage for AI training and contextual analysis that fragmented competitors cannot replicate. The risk is that Dynatrace, Cisco/Splunk, and cloud providers leverage their respective strengths — enterprise relationships, security analytics depth, and infrastructure bundling — to match Datadog's AI capabilities while offering deeper specialization in specific segments. The opportunity is that cloud complexity and AI-driven applications are making unified observability essential, and Datadog's platform breadth, integration depth, and AI automation create a compounding advantage that becomes more valuable with each additional customer and data point.
Olivier Pomel is the co-founder and CEO of Datadog, Inc. He has served as CEO since the company's founding in 2010. Pomel holds an MS in Computer Science from Ecole Centrale Paris. Before founding Datadog, he was VP of Technology at Wireless Generation, where he grew the engineering team to nearly 100 people before the company's acquisition by News Corp. He is an original author of the VLC media player, one of the world's most widely used open-source multimedia frameworks. Pomel has led Datadog through its IPO in 2019, its addition to the S&P 500 in 2025, and its evolution from infrastructure monitoring to a unified observability and security platform. He is known for his technical depth, customer-centric approach, and commitment to developer experience. Forbes estimates his net worth in the billions, reflecting his significant ownership stake in Datadog.
Alexis Lê-Quôc is the co-founder and CTO of Datadog, Inc. He has served as CTO since the company's founding in 2010. Lê-Quôc holds an MS in Computer Science from Ecole Centrale Paris. Before founding Datadog, he was Director of Operations at Wireless Generation, where he built infrastructure serving over four million students across 49 states. As a member of the original DevOps movement, he has presented on cloud monitoring and server performance at conferences including AWS re:Invent, Monitorama, DevOpsDays, Velocity, and PyCon. Lê-Quôc has been instrumental in Datadog's technical architecture, overseeing the development of the unified data platform that correlates metrics, traces, logs, and security signals. He owns approximately 3% of Datadog shares and became a billionaire in 2020.
Olivier Pomel and Alexis Lê-Quôc found Datadog in New York City after leaving Wireless Generation (acquired by News Corp). The company is bootstrapped initially, with the founders building the first version of the platform in an apartment. The name comes from an internal habit of calling database servers 'dogs.'
Datadog raises seed funding from NYC Seed, Contour Venture Partners, IA Ventures, and angel investors including Jerry Neumann and Alex Payne, validating the concept of cloud-native infrastructure monitoring.
Datadog raises $6.2 million in Series A funding co-led by Index Ventures and RTP Ventures, providing capital for product development and early sales expansion.
Datadog raises $15 million in Series B funding led by OpenView Venture Partners, supporting expansion into application performance monitoring and broader cloud platform support.
Datadog raises $31 million in Series C funding led by Index Ventures and opens its Paris R&D office, tapping into French engineering talent and establishing a European presence.
Datadog raises $94.5 million in Series D funding led by ICONIQ Capital, one of the largest NYC funding rounds that year. The company moves to the New York Times Building and launches Application Performance Monitoring (APM) beta, expanding from infrastructure to full-stack observability.
Datadog acquires Logmatic.io to add log management capabilities, completing the core observability triad of metrics, traces, and logs. The acquisition accelerates Datadog's entry into the log analytics market.
Cisco offers over $7 billion to acquire Datadog, but the founders reject the offer in favor of going public. The decision reflects confidence in the company's independent growth trajectory and the founders' vision for a unified observability platform.
Datadog goes public on September 19, 2019, selling 24 million shares and raising $648 million at a valuation of $8.7 billion. The stock rises approximately 37% on the first trading day, reaching a market cap of nearly $10 billion.
Datadog launches Cloud Security Management, entering the cloud security market with vulnerability detection, misconfiguration scanning, and compliance monitoring integrated into the observability platform.
Datadog acquires Sqreen, an application security platform, for approximately $200 million, adding runtime application self-protection (RASP) and in-app security monitoring capabilities.
Datadog stock is added to the Nasdaq-100 index, reflecting the company's growth into one of the largest technology companies by market capitalization.
Datadog acquires Cloudcraft (infrastructure visualization), Seekret (API observability), and HDIV (security testing), expanding platform capabilities in architecture modeling, API monitoring, and security testing.
At DASH 2023, Datadog launches Bits AI, a generative AI assistant powered by OpenAI that learns from observability data to help engineers resolve application issues in real time. The launch marks Datadog's entry into AI-powered observability.
Datadog experiences a multi-hour service outage affecting thousands of customers, exposing operational risks of centralized observability and prompting significant investments in reliability engineering and multi-region redundancy.
Datadog unveils its modern approach to Cloud SIEM, emphasizing risk-based insights, 15-month retention, OCSF data normalization, and AI-driven investigation. The platform gains traction in enterprise security operations.
At DASH 2025, Datadog introduces three autonomous AI agents — Bits AI SRE, Bits AI Dev Agent, and Bits AI Security Analyst — alongside Proactive App Recommendations and APM Investigator, shifting from passive observability to automated remediation.
Datadog is added to the S&P 500 Index in July 2025, recognizing its growth into one of the most important technology companies in the market.
Datadog acquires Quickwit (open-source cloud-native log search), Metaplane (AI-powered data observability), and Eppo (experimentation infrastructure), expanding capabilities in log search, data quality, and product experimentation.
Datadog reports Q1 fiscal 2026 revenue of $1.01 billion, the first quarter exceeding $1 billion. The company also acquires Propolis, an AI-powered QA testing platform, further expanding its AI and automation capabilities.
Datadog acquired Mortar Data to strengthen its data analytics and processing capabilities. Mortar provided a platform for data science and analytics that complemented Datadog's infrastructure monitoring data pipeline.
Datadog acquired Logmatic.io to add log management capabilities to its platform. Logmatic provided centralized log aggregation, search, and analysis that complemented Datadog's existing metrics and infrastructure monitoring.
Datadog acquired Madumbo, an AI-powered testing platform, to add automated testing and quality assurance capabilities. Madumbo used machine learning to detect UI issues and application bugs.
Datadog acquired Sqreen, an application security platform, for approximately $200 million. Sqreen provided runtime application self-protection (RASP), in-app security monitoring, and protection against OWASP top 10 vulnerabilities.
Datadog acquired Cloudcraft, a cloud infrastructure visualization platform. Cloudcraft provided drag-and-drop tools for creating AWS architecture diagrams and visualizing cloud infrastructure.
Datadog acquired Quickwit, an open-source cloud-native log search engine. Quickwit provided high-performance, cost-efficient log search capabilities using a novel indexing approach.
Datadog acquired Metaplane, an AI-powered data observability platform. Metaplane provided automated data quality monitoring, anomaly detection for data pipelines, and impact analysis for data issues.
Datadog acquired Eppo, an experimentation infrastructure platform. Eppo provided tools for running A/B tests, feature flags, and product experiments with statistical rigor.
Datadog acquired Propolis, an AI-powered QA testing platform. Propolis provided automated testing capabilities that used AI to detect bugs, performance issues, and UI problems.