Datadog named Gartner observability Leader for sixth straight year in 2026

The company said it was ranked highest in Ability to Execute in Gartner’s 2026 Magic Quadrant for Observability Platforms, while highlighting AI and LLM monitoring products.

Summary

Datadog, Inc. said it was named a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms, marking the sixth consecutive year Gartner has placed the company in the Leader category. The company also said it was positioned highest in Ability to Execute in the 2026 report, published July 13, 2026. Datadog used the announcement to underscore its push into AI operations and monitoring. Chief Product Officer Yanbing Li said the recognition reflects Datadog’s investment in helping teams manage the complexity of AI- and LLM-powered applications, adding that the company invests more than $1 billion in annual non-GAAP research and development. Datadog said those efforts include work tied to OpenTelemetry and OpenLineage, alongside product releases across its platform. The release also highlighted customer use cases and product capabilities. Experian Consumer Services said Datadog gave its teams real-time visibility into customer experience and helped monitor the launch of its AI chatbot, EVA, through LLM Observability (tools for monitoring large language model apps). Datadog also pointed to customer reviews citing Bits AI and its broader unified platform for troubleshooting, debugging, and consolidating observability workflows. Datadog described its platform as combining observability and security so IT operations, development, security, and business teams can work from a single source of truth. It highlighted Bits Investigation for autonomous alert investigation and root-cause analysis, Agent Observability for tracking the performance, quality, security, and cost of AI agents, end-to-end APM (application performance monitoring) for linking front-end and back-end issues, and Digital Experience Monitoring for tying user experience to backend systems and business outcomes. The company included Gartner’s standard disclaimer that the research firm does not endorse vendors named in its publications and that Gartner reports reflect opinion rather than statements of fact. Datadog also said the release contains forward-looking statements about the benefits of new products and features, with actual results potentially differing materially due to risks detailed in its Securities and Exchange Commission filings.

Terms & Concepts
  • LLM Observability: Tools for monitoring large language model applications
  • APM: Application performance monitoring across software systems
  • root-cause analysis: Process of identifying the underlying source of a problem