Grafana
Kestra
| Feature | Grafana | Kestra |
|---|---|---|
| Pricing | Free / from $29/mo | Free / from $100/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.6 / 5 | 4.4 / 5 |
| Best For | devops-teams, sre-teams, data-engineers, iot-monitoring | data-engineers, devops-teams, backend-developers, workflow-automation |
| Founded | 2014 | 2020 |
| Dashboards | ✓ | ✗ |
| Data Sources | ✓ | ✗ |
| Alerting | ✓ | ✗ |
| Annotations | ✓ | ✗ |
| Plugins | ✓ | ✓ |
| Loki Logs | ✓ | ✗ |
| Tempo Traces | ✓ | ✗ |
| Mimir Metrics | ✓ | ✗ |
| Workflow Orchestration | ✗ | ✓ |
| Scheduling | ✗ | ✓ |
| Event Triggers | ✗ | ✓ |
| Monitoring | ✗ | ✓ |
| Secret Management | ✗ | ✓ |
| Multi Tenant | ✗ | ✓ |
✓ Grafana Pros
- Connects to virtually any data source
- Beautiful and highly customizable dashboards
- Open-source with massive community
- Grafana Cloud includes Loki, Tempo, and Mimir
- Alerting across all data sources
✗ Grafana Cons
- Self-hosting requires DevOps expertise
- Dashboard creation has a learning curve
- Plugin quality varies
✓ Kestra Pros
- Open-source with full orchestration capabilities
- Declarative YAML workflows (GitOps friendly)
- 500+ plugins for data, cloud, and messaging services
- Real-time triggers, schedules, and event listeners
✗ Kestra Cons
- Less visual builder than no-code tools
- Learning curve for YAML workflow syntax
- Newer platform with smaller community than Airflow
The Verdict
Grafana is built for devops teams and sre teams, with a focus on dashboards and data-sources. Kestra targets data engineers and devops teams and leads with workflow-orchestration and scheduling.
On pricing, Grafana is the clear winner for budget-conscious users — starting at $29/mo compared to $100/mo for Kestra. That $71/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Grafana offers broader built-in capabilities (8 features vs 7), while Kestra takes a more focused approach — which can mean a simpler, faster onboarding experience.
Both tools are a solid fit for devops teams, data engineers — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.