Grafana vs Keep
| Tagline | Observability and analytics dashboards for metrics, logs, and time series | Open-source alert management platform to correlate and deduplicate noisy alerts |
| Category | BI & Dashboards | Monitoring & Status Pages |
| Replaces | Tableau, Power BI, Datadog | Datadog, Statuspage, Pingdom |
| GitHub stars | 75k | 6.5k |
| Language | TypeScript | Python |
| License | AGPL-3.0 | MIT |
| Self-host difficulty | 2/5 Easy | 2/5 Easy |
| Deploy options | One-Click Docker Docker Compose Kubernetes Manual | Docker Docker Compose Kubernetes |
| Managed hosting | ||
| Last updated | 5 days ago | 1 month ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Grafana
- Oriented toward time-series and observability, not ad-hoc business analytics or pivot-style exploration
- No business-friendly visual query builder; dashboards assume knowledge of data sources and query languages
- Weak at relational/tabular BI reporting compared to Tableau or Power BI
- No semantic modeling layer; data modeling lives in the underlying sources
Keep
- AI correlation features require OpenAI API key (not fully self-contained)
- Relatively young project; some integrations are still alpha quality
- No built-in on-call scheduling; must integrate with external tools
Bottom line
Both are a similar lift to self-host; choose Grafana for the larger community and ecosystem. Grafana has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Keep
Open-source alert management platform to correlate and deduplicate noisy alerts