Tools / Datadog

Datadog

Cloud monitoring, security, and digital experience on one platform.

Screenshot of Datadog website
datadoghq.com, homepage
Datadog is a cloud monitoring and observability platform. Its site organizes the product into six areas: Observability (infrastructure, container, Kubernetes, serverless, network, and GPU monitoring;…From the listing

About Datadog

Datadog is a cloud monitoring and observability platform. Its site organizes the product into six areas: Observability (infrastructure, container, Kubernetes, serverless, network, and GPU monitoring; APM; continuous profiling; database monitoring; log management; error tracking), Security (code security, cloud security posture management, workload protection, Cloud SIEM), Digital Experience (browser and mobile real user monitoring, session replay, synthetic monitoring, product analytics), Software Delivery (CI visibility, test optimization, feature flags, DORA metrics), Service Management (incident management, service level objectives, workflow automation, a software catalog), and AI (Bits AI assistants, agent observability, an MCP server, GPU monitoring). The homepage banner notes Datadog was named a Leader in the Gartner Magic Quadrant for Observability Platforms.

What it does

Datadog collects metrics, traces, logs, and user-session data from your infrastructure and applications. The product lineup on the site covers:

  • Infrastructure: host, container, Kubernetes, serverless, network, storage, and GPU monitoring, plus cloud cost management and Kubernetes autoscaling.
  • Applications: APM, universal service monitoring, continuous profiler, dynamic instrumentation, and database monitoring.
  • Logs: log management, observability pipelines, audit trail, error tracking, bring-your-own-cloud log management, and a sensitive data scanner.
  • Data: data observability and data streams monitoring.
  • Security: code security (SAST, IAST, software composition analysis, secret scanning), cloud security posture management, entitlement management, vulnerability management, workload protection, app and API protection, and Cloud SIEM.
  • Digital experience: browser and mobile RUM, session replay, synthetic monitoring, mobile app testing, product analytics, and experiments.
  • Software delivery: CI visibility, test optimization, code coverage, feature flags, DORA metrics, and an internal developer portal.
  • Service management: incident management, work management, SLOs, event management, workflow automation, and a software catalog.
  • AI: Bits AI agents, Bits Chat, Bits Investigation, Bits Agent Builder, Bits Code, a Bits Security Analyst, agent observability, an MCP server, Pup CLI, and GPU monitoring.

Pricing

Datadog publishes pricing on a dedicated page (datadoghq.com/pricing). The homepage content available here doesn't include specific prices, so rates aren't quoted in this listing.

FAQ

Is Datadog just infrastructure monitoring? No. Beyond infrastructure, the site lists application performance monitoring, log management, security products (code security, cloud security, Cloud SIEM), user-facing monitoring (RUM, session replay, synthetic tests), and software delivery tools like CI visibility and feature flags.

Does it monitor AI applications and models? The site has a dedicated AI section: agent observability, GPU monitoring, an MCP server, and the Pup CLI, plus Bits AI products for investigation, chat, and agent building.

Can it replace a separate SIEM or error tracker? It lists both a Cloud SIEM and error tracking among its products, so those categories are covered. Whether it fits as a replacement depends on your requirements — the site doesn't make a direct comparison claim.

Is there a free trial? The scraped homepage doesn't mention one. Check the pricing page for current trial or free-tier details.

Alternatives

  • Sentry — error tracking and performance monitoring; overlaps with Datadog's error tracking and APM.
  • LogRocket — session replay plus frontend performance and errors; overlaps with Datadog's session replay and RUM.
  • Highlight — open-source full-stack monitoring with errors, replay, and logs.
  • Checkly — synthetic checks via Playwright; overlaps with Datadog's synthetic monitoring.
  • Better Stack — uptime monitoring, incidents, and status pages; overlaps with Datadog's monitoring and incident management.

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