Datadog

Executive leadership (selection)

• Olivier Pomel – Chief Executive Officer (CEO) and Co‑Founder
• Alexis Lê‑Quôc – Chief Technology Officer (CTO) and Co‑Founder
• David Obstler – Chief Financial Officer (CFO)
• Sara Varni – Chief Marketing Officer (CMO)
• Adam Blitzer – Chief Operating Officer (COO)
• Yanbing Li – Chief Product Officer (CPO)
• David Galloreese – Chief People Officer
• Sean Walters – Chief Revenue Officer
• Emilio Escobar – Chief Information Security Officer (CISO)
• Kerry Acocella – General Counsel

For the full and most current list of Datadog leaders and board members, see the Leadership section on datadoghq.com.

For the most current contact options, visit the Contact page on datadoghq.com.

Headquarters

• Global headquarters – New York City, USA

620 8th Ave, 45th Floor, New York, NY 10018, USA

• European headquarters – Paris, France

21 Rue de Châteaudun, 6th Floor, 75009 Paris, France

Selected global offices

Datadog has offices in multiple regions worldwide, including (not an exhaustive list):

• North America

Atlanta (GA), Boston (MA), Chicago (IL), Denver (CO), New York (NY), Pittsburgh (PA), San Francisco (CA), Seattle (WA)

• Latin America

Mexico City (Mexico), São Paulo (Brazil)

• Europe and Middle East

Amsterdam (Netherlands), Bordeaux (France), Copenhagen (Denmark), Dubai (United Arab Emirates), Dublin (Ireland), Grenoble (France), Hamburg (Germany), Lisbon (Portugal), London (United Kingdom), Lyon (France), Madrid (Spain), Montpellier (France), Nantes (France), Paris (France), Sophia Antipolis (France), Stockholm (Sweden), Tel Aviv‑Yafo (Israel)

• Asia Pacific

Bengaluru (India), Jakarta (Indonesia), Melbourne (Australia), Mumbai (India), Osaka (Japan), Seoul (South Korea), Singapore, Sydney (Australia), Tokyo (Japan)

For up‑to‑date office details or additional locations, refer to the Contact page on datadoghq.com.

Lists Melbourne, Atlanta, Paris, Hartford, Chicago, Boston, Amsterdam, and New York City as a location. Names New York and United States as a service area. Areas beyond these are not published.

• Datadog has been named a Leader in the Gartner Magic Quadrant™ for Observability Platforms (2026 report referenced on the site).
• Datadog has been recognized as a Leader in the Gartner Magic Quadrant™ for Digital Experience Monitoring (2024 report referenced on the site).

Other analyst coverage (examples)

The Analyst Reports section of datadoghq.com lists additional coverage, including (examples from the site):

• 2025 Gartner® Magic Quadrant™ for Observability Platforms
• The Forrester Wave™: AIOps Platforms, Q2 2025
• 2024 Gartner® Magic Quadrant™ for Digital Experience Monitoring

For full details, report availability and any terms of access, visit the Analyst Reports page on datadoghq.com. Some external analyst content may require a separate subscription or registration.

• Brings metrics, traces, logs, security signals and user experience data together in one place.
• Helps development, operations, security and business teams see inside any stack, any app, at any scale, anywhere.
• Uses AI to detect and help resolve issues before they impact customers.
• Supports cloud, hybrid and on‑premises environments across major cloud providers and modern application stacks.

Who Datadog is for

Datadog is designed for:

• Software engineering and DevOps teams
• SRE and IT operations teams
• Security and compliance teams
• Digital product and business owners who need insight into application health and user experience

Core value

By unifying observability and security data, Datadog helps organizations:

• Reduce time to detect, investigate and remediate issues
• Break down silos between engineering, operations and security
• Improve reliability and performance of applications and infrastructure
• Gain clarity and confidence while operating at scale

• Infrastructure Monitoring for hosts, containers, Kubernetes and cloud services
• Metrics collection and visualization
• Container and Kubernetes monitoring, including autoscaling support
• Network Monitoring for traffic patterns across cloud environments
• Serverless monitoring for functions and event‑driven architectures
• Cloud cost and resource management capabilities

Application monitoring and performance

• Application Performance Monitoring (APM) for distributed tracing and performance analysis
• Universal service monitoring and service catalog
• Continuous profiler to analyze code performance in production
• Dynamic instrumentation and agent observability tools

Logs and data

• Log Management to collect, search and analyze logs
• Observability pipelines and routing
• Sensitive data scanning and audit trails
• Database and data observability monitoring

Security

• Unified security and observability view
• Application and code security capabilities
• Cloud security posture and entitlement management
• Vulnerability management and compliance monitoring
• Cloud SIEM, workload protection and application/API protection

Digital experience monitoring

• Real User Monitoring (RUM) for web and mobile
• Synthetic monitoring and testing of key user journeys and endpoints
• Session replay and error tracking
• Product analytics and experimentation features

Software delivery and operations

• Internal developer portal and CI visibility
• Test optimization and continuous testing
• Feature flags and code coverage insights

Service management and collaboration

• Event management and incident response workflows
• Service level objectives (SLOs)
• Case and workflow automation
• Dashboards, notebooks and mobile app for sharing and on‑the‑go access

AI and automation

• AI‑powered assistants and agents to help investigate and remediate issues
• AI‑driven monitoring, anomaly detection and insights across the platform

These capabilities are delivered as part of a single integrated SaaS platform, so customers can adopt the areas that match their needs and expand over time.

Using Datadog

Once signed in, teams can:

• Connect infrastructure, applications, logs and cloud services for monitoring.
• Set up dashboards, alerts and SLOs.
• Enable additional product areas such as APM, logs, security monitoring or digital experience monitoring as needed.

Documentation

• Datadog provides extensive product documentation via the Docs section linked from the main website.
• The documentation includes setup guides, best practices, and reference material for all major product areas.

For details about pricing, plans or contract terms, refer to the pricing and sales information published on datadoghq.com or contact Datadog directly, as the agent does not invent or estimate prices.

Ask anyway — the agent will say plainly that it is not published rather than guess.