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§ Public · New York City, NY, USA
Observability platform providing SaaS-based monitoring for cloud infrastructure, applications, logs, and security for enterprises.
Datadog is a New York City-based software company that provides a cloud-scale observability and security platform for monitoring servers, databases, tools, and applications. The publicly traded enterprise, listed on the Nasdaq exchange, operates with approximately 6,500 employees across 33 countries under a SaaS subscription business model. Its core platform delivers real-time visibility into complex technology stacks by supporting over 750 native integrations with major cloud service providers, including AWS, Azure, and Google Cloud. IT operations teams, software developers, and business users utilize the centralized system for infrastructure monitoring, application performance tracking, log management, real-user monitoring, and automated issue resolution. By consolidating metrics and alerts into unified dashboards, the platform enables enterprises to optimize their digital infrastructure and maintain operational efficiency. The technology company was founded in 2009 by co-founders Olivier Pomel and Alexis Lê-Quôc.
Datadog has raised $148.0M across 5 funding rounds.
Key people at Datadog.
Datadog was founded in 2010 by Olivier Pomel (Co-Founder & CEO) and Alexis Le-Quoc (Co-Founder & CTO).
Datadog has raised $148.0M in total across 5 funding rounds.
Key people at Datadog.
# Datadog: High-Level Overview
Datadog is a cloud monitoring and security platform that provides observability, analytics, and real-time insights into organizations' entire technology stacks.[1][2] Founded in 2010 and headquartered in New York, the company enables DevOps, IT operations, security, and business teams to monitor, optimize, and secure their infrastructure and applications in the cloud age.[1][3]
The company serves enterprise and mid-market customers across diverse industries who require comprehensive visibility into increasingly complex cloud environments.[2] Datadog's mission is to bring clarity to the cloud, enabling organizations to accelerate digital transformation by collecting and analyzing metrics, logs, and traces from cloud services and infrastructure.[1] In 2024, Datadog reported $2.11 billion in revenue—a 27% increase year-over-year—with approximately 2,990 customers generating $100,000 or more in annual recurring revenue, demonstrating strong market adoption and customer value.[1]
# Origin Story
Datadog was founded in 2010 and has evolved from a specialized infrastructure monitoring tool into a comprehensive observability and security platform.[1] The company's founding reflected the emerging need for unified monitoring solutions as organizations increasingly migrated to cloud-based architectures. This timing positioned Datadog to capture the growing demand for cloud-native observability tools, and the company has since expanded its product portfolio to address the full spectrum of monitoring, security, and analytics needs across modern technology stacks.
# Core Differentiators
Datadog's competitive advantages center on its unified platform approach and extensive integration ecosystem:
# Role in the Broader Tech Landscape
Datadog operates at the intersection of several powerful technology trends. The company is riding the wave of cloud migration and digital transformation, as organizations increasingly move workloads to AWS, Azure, and Google Cloud.[1][2] As cloud environments become more complex—spanning multiple providers, microservices architectures, and containerized deployments—the need for unified observability has become mission-critical rather than optional.
The company also benefits from the growing emphasis on security and compliance in cloud environments. Datadog's expansion into cloud security, including cloud security posture management and cloud SIEM capabilities, positions it to capture value from organizations' heightened focus on threat detection and regulatory compliance.[2]
Additionally, Datadog influences the broader ecosystem by setting standards for what modern observability platforms should deliver. Its 800+ integrations and unified approach have raised customer expectations across the industry, pushing competitors to expand their own integration networks and consolidate fragmented monitoring toolsets.
# Quick Take & Future Outlook
Datadog's trajectory suggests continued growth driven by cloud adoption acceleration and the increasing complexity of modern technology stacks. The company's recent announcement of 125+ new products and features at its DASH conference—including the Datadog Internal Developer Portal and AI-integrated development tools—signals its ambition to expand beyond pure monitoring into developer productivity and infrastructure automation.[2]
The key question for Datadog's future is whether it can maintain its unified platform advantage as the observability market matures and specialized competitors emerge in adjacent areas like AI operations and application security. However, its strong net revenue retention rate (119%) and expanding customer base suggest that customers increasingly value consolidation and the operational simplicity of a single platform.
As organizations continue their cloud transformation journeys and grapple with security, compliance, and performance optimization, Datadog's role as the central nervous system for cloud infrastructure will likely deepen—making it a critical infrastructure layer for the next generation of cloud-native enterprises.
Datadog has raised $148.0M across 5 funding rounds. Most recently, it raised $95.0M Series D in January 2016.
| Date | Company | Round | Lead Investor(s) | Co-Investor(s) |
|---|---|---|---|---|
| Mar 18, 2026 | Corridor | $25.0M Series A | Felicis Ventures | Anton Osika, Artisanal Ventures, Christina Cacioppo, Conviction, LUX Capital, Mike Krieger, Sunflower Capital, SV Angel, Timeless Invest Capital Management |
| Feb 5, 2026 | Daytona | $24.0M Series A | FirstMark Capital | Darkmode, E2vc, ENO Reyes, Figma Ventures, Gorkem Yurtseven, Nikita Shamgunov, Pace Capital, Theo Browne, Upfront Ventures |
| Jul 9, 2025 | OllyGarden | $1.6M Pre-Seed | DIG Ventures | Dash0, Grafana Labs |
| May 1, 2024 | Patronus AI | $17.0M Series A | Notable Capital | 10D, Eclipse Ventures, Haun Ventures, ISAI, Lightspeed Venture Partners, Glenn Solomon, Hans Tung, Redpoint Ventures, RED SEA Ventures, Amjad Masad, Barr Moses, Gokul Rajaram, Josh Elman, Pankaj Patel, Paul Yacoubian, Sahil Lavingia, Suhail Doshi, Yair Weinberger, Aparna Sinha, Jason Warner, Jonathan Frankle, Michael Callahan, Nadim Hossain, Tristan Handy, Factorial Capital |
Datadog was founded in 2010 by Olivier Pomel (Co-Founder & CEO) and Alexis Le-Quoc (Co-Founder & CTO).
Datadog has raised $148.0M in total across 5 funding rounds.
Datadog's investors include ICONIQ Growth, Contour Venture Partners, Cyberstarts VC, Future Perfect Ventures, Index Ventures, Mayfield, Next47, Openview Venture Partners, Rembrandt Venture Partners, Sapphire Ventures, Howard Lindzon, Storm Ventures.