Datadog is the observability and security platform for cloud applications. Its SaaS platform brings together infrastructure telemetry, application traces, logs, digital experience data, security signals, and cloud cost context so teams can monitor, troubleshoot, and secure modern systems from a single environment. The platform is designed for cloud-native, hybrid, and on-premises estates, with AI and automation embedded across multiple workflows.
Datadog organizes its portfolio across observability, security, digital experience, software delivery, service management, AI, and platform capabilities. It supports broad technology coverage through more than 1,000 vendor-backed integrations, APIs, and OpenTelemetry, helping organizations standardize visibility and collaboration across distributed applications and infrastructure.
Offerings, Capabilities, and Integrations
Datadog offers a unified operating layer for engineering, operations, security, and incident workflows. The platform lets teams move across metrics, traces, logs, user sessions, incidents, and threat investigations in shared context, while also supporting dashboards, notebooks, alerts, workflow automation, service ownership, and case-based collaboration.
Integration breadth is a core part of the Datadog offering. Datadog supports more than 1,000 vendor-backed integrations, open APIs, and OpenTelemetry, and connects with cloud platforms, CI/CD tools, databases, ticketing systems, chat tools, and infrastructure services. That makes the platform well suited to multi-cloud, hybrid, and on-premises environments, including AWS, Microsoft Azure, Google Cloud, Kubernetes, serverless services, and modern application stacks.
Products and Services
- Infrastructure Monitoring: Monitors servers, cloud services, containers, and infrastructure metrics with dashboards, alerts, and broad integration coverage across cloud, hybrid, and on-premises environments.
- Application Performance Monitoring: Provides distributed tracing from browser and mobile applications through backend services and databases to troubleshoot performance, investigate errors, and optimize application behavior.
- Log Management: Collects, correlates, searches, visualizes, and alerts on logs alongside metrics and traces for troubleshooting and exploratory analysis.
- Cloud Security: Combines agentless cloud scanning and Datadog agent telemetry to identify vulnerabilities, misconfigurations, identity risks, compliance issues, and active threats across cloud infrastructure.
- Cloud SIEM: Provides AI-driven threat detection and investigation with real-time security log analysis, out-of-the-box rules, integrations, and response workflows for security operations teams.
- Browser Real User Monitoring: Captures real user sessions and frontend performance data for web applications, correlating user behavior with backend traces and logs to troubleshoot customer experience issues.
- CI Visibility: Monitors CI/CD pipeline health and performance, correlates logs and build context, and helps platform engineering and DevOps teams reduce bottlenecks, improve reliability, and lower CI costs.
- Incident Response: Unifies monitoring, paging, on-call coordination, incident workflows, stakeholder communications, and post-incident learning in one operational workflow.
- Cloud Cost Management: Combines cloud spend and performance telemetry to give engineering and FinOps teams shared cost observability for allocation, optimization, and governance.
- LLM Observability: Monitors, evaluates, and improves LLM and agent applications with end-to-end tracing of prompts, responses, tool calls, latency, token usage, quality, and sensitive data handling.
- Synthetic Monitoring: Simulates API, browser, mobile, and network tests to proactively monitor critical user journeys and correlate synthetic results with real-user and backend telemetry.
- Session Replay: Replays browser and mobile sessions to help teams diagnose friction, errors, and performance issues in context with real user monitoring data.
- Observability Pipelines: Controls, optimizes, transforms, and routes logs and metrics before sending them to Datadog or other destinations.
Target Customers
Datadog targets organizations building and operating modern cloud applications. Its platform is used by developers, site reliability and IT operations teams, platform engineering and DevOps teams, security teams, and FinOps practitioners that need shared visibility across application performance, infrastructure health, security posture, incident workflows, and cloud spend. Datadog also supports business users who rely on operational and digital experience data to track service and customer impact.
Datadog serves organizations across a wide range of industries, including financial services, manufacturing and logistics, healthcare and life sciences, retail and e-commerce, government, education, media and entertainment, technology, and gaming. Its customer base spans digital-native companies and large enterprises pursuing cloud migration, DevOps transformation, hybrid operations, and multi-cloud standardization.
Cloud Integrations and Marketplace
- AWS Marketplace: Datadog is sold through AWS Marketplace, including a Datadog Enterprise listing, and maintains AWS-focused monitoring and security integrations for cloud workloads.
- Azure Marketplace: Datadog offers an Azure Native ISV Service in Azure Marketplace that supports procurement, billing, configuration, and monitoring workflows directly from the Azure portal.
- Google Cloud Marketplace: Datadog is available in Google Cloud Marketplace and supports joint Google Cloud use cases spanning infrastructure monitoring, security, containers, serverless services, AI, and cloud cost visibility.
Key People
- Olivier Pomel: CEO & Co-Founder
- Alexis Lê-Quôc: CTO & Co-Founder
- Adam Blitzer: Chief Operating Officer
- David Obstler: Chief Financial Officer
- Yanbing Li: Chief Product Officer
- Sean Walters: Chief Revenue Officer
- Sara Varni: Chief Marketing Officer
- Kerry Acocella: General Counsel and Secretary
- Emilio Escobar: Chief Information Security Officer
- David Galloreese: Chief People Officer
Key Facts
- Headquarters: New York, New York, USA
- Employees: Approximately 8,100
- Annual Revenue: $3.43 billion
- Parent Company: None
- Subsidiaries: Datadog France SAS; Datadog Ireland Limited; Datadog Cloud Spain SL; Datadog Ireland Limited UK Branch; Datadog Netherlands BV
- Publicly Listed: NASDAQ: DDOG
Analyst Recognitions
- Gartner: 2025 Gartner Magic Quadrant for Observability Platforms — Leader. 2025 Gartner Magic Quadrant for Digital Experience Monitoring — Leader.
- Forrester: The Forrester Wave: AIOps Platforms, Q2 2025 — Leader.
