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.
At a Glance
- Information Technology and Services
- Computer Software
- Financial Services
- Manufacturing and Logistics
- +8 more
AI Tools by Datadog, Inc.
(1)Datadog
Cloud Monitoring and Security Platform
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Latest News
THE ICONIC strengthens platform reliability with Datadog to keep shopping seamless
Datadog Announces Date of Fourth Quarter and Fiscal Year 2025 Earnings Call
Datadog Announces Upcoming Investor Day
Datadog Announces Expanded Collaboration Agreement with AWS Across AI, Observability and Security at AWS re:Invent
Products & Services
Monitors cloud infrastructure, servers, containers, and Kubernetes with 1,000+ integrations
Distributed traces, service health metrics, continuous profiler, and dynamic instrumentation for code-level performance
Ingestion, indexing, and analysis of logs with parsing for 200+ sources
Query performance trends, explain plans, and metrics for databases
Market Position
Datadog positions itself as a unified observability and security platform that consolidates multiple monitoring tools into a single solution. Key differentiators include: 1,000+ integrations supporting multi-cloud and hybrid environments; AI-driven insights through Watchdog and Bits AI agents; comprehensive product suite spanning infrastructure, applications, logs, security, and digital experience; strong developer-focused approach with support for modern technologies like Kubernetes, serverless, and LLM observability. Named a Leader in Gartner Magic Quadrant for Digital Experience Monitoring. Competes with Splunk, New Relic, Dynatrace, and point solutions in various categories.
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.
Board of Directors
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.
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