Datadog, Inc.
Datadog provides a SaaS-based data analytics and observability platform that integrates and automates infrastructure monitoring, application performance monitoring, log management, real-user monitoring, and security to provide unified, real-time observability for an organization's entire technology stack.
Founding Story
Datadog was founded in 2010 in New York City by Olivier Pomel and Alexis Lê-Quôc, who previously worked together at Wireless Generation building data systems for K-12 teachers. They saw a significant gap in the market for comprehensive cloud infrastructure monitoring and created Datadog to reduce friction between developer and systems administration teams by providing a unified observability platform. Both founders are French natives who met as undergraduates at Ecole Centrale Paris.
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Leadership
Founders
Olivier Pomel
Prior to founding Datadog, Olivier built data systems for K-12 teachers as a VP, Technology for Wireless Generation and held software engineering positions at IBM Research and several startups. He is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris.
Alexis Lê-Quôc
Before Datadog, Alexis served as the Director of Operations for Wireless Generation and was a software engineer at IBM Research, Neomeo, and Orange. He is a member of the original devops movement and holds an MS, CS from the Ecole Centrale Paris.
Executive Team
Olivier Pomel
CEO & Co-Founder
Prior to founding Datadog, Olivier built data systems for K-12 teachers as a VP, Technology for Wireless Generation and held software engineering positions at IBM Research and several startups. He is an original author of the VLC media player and holds a MS, CS from the Ecole Centrale Paris.
Alexis Lê-Quôc
CTO & Co-Founder
Before Datadog, Alexis served as the Director of Operations for Wireless Generation and was a software engineer at IBM Research, Neomeo, and Orange. He is a member of the original devops movement and holds an MS, CS from the Ecole Centrale Paris.
Business Model
Revenue Model
SaaS subscription-based model with usage-based pricing across different product categories (infrastructure monitoring, APM, logs, security, etc.). Customers pay based on hosts, events, sessions, and other metrics. Offers annual and on-demand (monthly) pricing with discounts for annual commitments.
Pricing Tiers
Up to 5 hosts, 1-day metric retention
1,000+ integrations, dashboards, 15-month retention
ML-based alerts, Live Processes, Governance Console
Distributed traces, service health metrics, 15-day historical search
Adds Continuous Profiler for code-level performance optimization
15-day retention for real-time exploration and alerting
Query performance trends, explain plans, and 15-month metric retention
Includes CSPM, CIEM, and Vulnerability Management
Adds workload protection and file integrity monitoring
Filtered session retention for troubleshooting
Timelines, status pages, and postmortems
End-to-end tracing for AI agents, performance monitoring, and quality/security safeguards
Target Markets
- Information Technology and Services
- Computer Software
- Financial Services
- Manufacturing and Logistics
- Healthcare/Life Sciences
- Retail/E-Commerce
- Application security and vulnerability management
- Cloud migration and hybrid cloud monitoring
- Monitoring consolidation
- DevOps and SRE automation
- FinOps and cloud cost management
- Digital experience monitoring
- Samsung
- Whole Foods Market
- Bank of America
- JPMorgan Chase
History & Milestones
Acquired Metaplane
Acquired Eppo for experimentation and feature management
Added to the S&P 500 index
Named a Leader in the 2025 Gartner Magic Quadrant for Digital Experience Monitoring
Announced expanded collaboration with AWS at re:Invent; Launched Bits AI SRE Agent
1 AI Tool by Datadog, Inc.
Datadog
9moMonitoring and analytics platform with AI capabilities for observability, anomaly detection, and LLM performance monitoring.
