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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Datadog named Leader in 2025 Gartner® Magic Quadrant™ for...
2025-07-10 · via Datadog | The Monitor blog
Yanbing Li

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.

Gartner, Magic Quadrant for Observability Platforms, Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren, 8 July 2025
Datadog named a Leader in the Magic Quadrant report
Gartner, Magic Quadrant for Observability Platforms, Gregg Siegfried, Matt Crossley, Padraig Byrne, Andre Bridges, Martin Caren, 8 July 2025

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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