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Monitor logs, metrics, and traces in one open source observability platform. AGPL-3.0 and self-hostable, with object storage for lower retention costs.
Use OpenObserve to retain more telemetry in object storage while keeping search, dashboards, and alerting available.
Skip if your team depends heavily on Datadog-specific integrations and managed workflows.
Logs, metrics, and traces in one open source platform can replace a patchwork of tools early in the infrastructure lifecycle.
Skip if no one on the team can operate an observability backend reliably.
Observability data grows faster than most infrastructure budgets. Logs, traces, metrics, and session data can create unpredictable bills in proprietary platforms, and teams often reduce retention or sampling just to control spend.
The operational risk is clear: when an incident happens, the missing data is often the data the team dropped to save money. Teams need observability they can afford to retain and query without giving all telemetry to a vendor.
Ingests logs, metrics, and traces into one observability interface with dashboards, search, and alerts.
Uses object storage for telemetry data, which can lower retention cost compared with vendor-priced hot storage.
Teams can run OpenObserve themselves or use the managed service depending on their operations capacity.
OpenObserve and Datadog both help teams search telemetry, build dashboards, and alert on system behavior. OpenObserve focuses on open source self-hosting and object-storage cost control; Datadog focuses on a broad managed observability suite.
OpenObserve is better when telemetry volume and retention cost are the main pain. Datadog is still better when a team wants the richest managed integration catalog and can accept vendor pricing.
Yes. OpenObserve is open source under the AGPL-3.0 license.
OpenObserve handles common observability data including logs, metrics, traces, dashboards, and alerts.
OpenObserve gives teams an open source, self-hostable observability platform with a cost-control focus. Datadog remains stronger for managed enterprise features and its integration ecosystem.
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