
Yanbing Li
We are thrilled to announce that, for the fifth consecutive year, Datadog has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms. We believe that this recognition reflects our continued focus on helping customers observe, secure, and act on everything that matters across their technology stack. As observability enters a new era shaped by AI, Datadog’s holistic approach—spanning LLM Observability, Bits AI, foundation model research, and deep integrations and partnerships with leading AI-native technologies—helps teams adopt AI with confidence, accelerate investigations and automation, and stay ahead.

Datadog’s unified observability and security platform breaks down organizational silos and enables IT operations, development, security, and business teams to collaborate more effectively and take action based on a single source of truth.
- End-to-end APM reduces mean time to resolution (MTTR) by integrating mobile and browser apps with backend services, providing deep visibility into every user action, code line, and database query.
- Bits AI accelerates root cause analysis with intelligent AI agents that autonomously investigate alerts, manage incidents, suggest fixes, and act across systems.
- LLM Observability provides visibility into the performance, quality, security, and cost of LLM apps and AI agents, enabling safe, scalable adoption.
- Incident Response brings together live telemetry data, alerting, on-call scheduling, and coordinated response so that teams can resolve issues faster.
- At-scale support for OpenTelemetry includes native and hybrid implementations with full interoperability, enabling organizations to standardize their collection of telemetry data.
Customer feedback is a core aspect of analyst evaluations. We believe that our recognition in this category reflects the ways Datadog helps customers observe, secure, and act across their environments—whether they're building modern applications, adopting AI, or managing complex systems at scale. We’re grateful to the users who continue to share their feedback and experiences, which help us improve our platform and stay focused on what matters most to them.
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