Graylog vs OpenObserve
Splunk-style log operations - mature indexed log management vs. object-storage observability
| Graylog | OpenObserve | |
|---|---|---|
| Summary | Mature log management and search with streams, pipelines, dashboards, and alerting. A practical Splunk alternative for log-heavy teams. | Rust-based, columnar, object-storage-backed. Claims 140x lower storage cost than Elasticsearch for logs. |
| License | SSPL-1.0 | AGPL-3.0 |
| Language | Java / TypeScript | Rust |
| GitHub stars (approx) | 8100 | 13000 |
| Categories | logs | all-in-one, logs, metrics, traces |
| Replaces SaaS | splunk, datadog | datadog, splunk, elastic |
| Self-host deployment | docker-compose, deb/rpm packages, tarball | single binary, docker, kubernetes helm |
| Commercial hosted option | yes (vendor-run) | yes (vendor-run) |
| Repository | https://github.com/Graylog2/graylog2-server | https://github.com/openobserve/openobserve |
| Freshness checked | 2026-06-23 | 2026-04-22 |
When to prefer Graylog
You want a proven log-management console with streams, parsing pipelines, role-based access, alerting, dashboards, and a workflow that feels familiar to Splunk operators. Graylog is the better fit when indexed search and operational log triage matter more than minimizing storage architecture.
When to prefer OpenObserve
You want a newer object-storage-backed platform that can cover logs plus metrics, traces, RUM, and session replay from a smaller Rust service footprint. OpenObserve is stronger when storage cost and a broader Datadog-style surface matter more than Graylog's mature log operations model.