Datadog vs Grafana

Choose Datadog if…

• Cloud-heavy teams that want metrics, traces, logs and alerts in one hosted product and can budget for it
• You need iOS and Android, which Grafana doesn't list
• Very wide integration catalogue that works with little setup
• Metrics, traces and logs are linked in one interface

Choose Grafana if…

• Teams that want flexible dashboards over many data sources, self-hosted or as a managed cloud
• You want open-source software
• You need to host it on your own servers
• You need Self-hosted, which Datadog doesn't list
• Connects to almost any metrics, logs or SQL data source

What is Datadog?

Datadog is the hosted observability suite many cloud-native companies end up on. An agent on each host or container ships metrics, traces and logs to one place, and from there you get dashboards, alerting, APM, real user monitoring, synthetic checks, database monitoring, incident management and a security product line. Its biggest strength is coverage: more than a thousand integrations mean most cloud services, databases and frameworks report useful data within minutes of setup. The weakness is the bill. Each product is priced separately, by host, by GB of logs, by custom metric or by test run, so costs are hard to predict and tend to climb as teams turn more things on. Pricing is per product with annual and on-demand rates; a small free tier covers a handful of hosts with short retention, and there is a free trial. It runs as a web app with mobile apps for alerts, and agents for Linux, Windows, macOS and Kubernetes.

What is Grafana?

Grafana started as a dashboard tool and is now the centre of an open observability stack. Grafana itself connects to dozens of data sources such as Prometheus, Loki, Elasticsearch, InfluxDB and SQL databases and turns them into dashboards and alerts. Grafana Labs also builds Loki for logs, Tempo for traces, Mimir for metrics, Pyroscope for profiling and k6 for load testing. You can self-host all of it for free under the AGPL, or use Grafana Cloud, which runs the stack for you with a free tier and usage-based paid plans. The appeal is flexibility and avoiding lock-in: it works with whatever you already collect. The downside is that running the full stack yourself is real operational work, and stitching the pieces together takes more effort than an all-in-one SaaS. Grafana runs in the browser; the server runs on Linux, Windows, macOS or Kubernetes.