Kestra
Open-source orchestration platform for data, AI, and infrastructure workflows
- Also known as
- kestra
What is Kestra?
Kestra is an open-source declarative orchestration platform for data, AI, and infrastructure workflows. It provides event-driven scheduling, language-agnostic execution, and enterprise-grade governance features across self-hosted, cloud, and air-gapped deployments.
Kestra pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free open-source version. Enterprise and Cloud editions available; contact sales for pricing.
Open Source
FreeProduction-ready declarative orchestration platform
- Declarative workflows
- 1800+ plugins
- Event-driven and scheduled execution
- Unlimited flows and executions
- Self-hosted deployment
- Language agnostic
Enterprise Edition
Contact salesMission-critical workloads with governance, scale, and advanced features
- LDAP, SCIM & Custom RBAC
- Public/Cloud SSO
- Audit logs
- Storage isolation
- Multiple tenants
- Worker groups & task runners
- High concurrency
- Asset lineage
- Enterprise plugins
- AI Copilot with custom models
- Custom apps on workflows
- Enterprise support with SLA
Cloud Edition
Fully managed platform with automatic scaling
- Fully managed hosting and upgrades
- Automatic scaling
- Built-in security and governance
- Enterprise plugins included
- Pay-as-you-scale model
- SOC2 compliant
What Kestra does
The capabilities that matter for data engineering tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- Orchestrator
- Processing paradigm
- Batch + streaming
- Connector count
- 1800+
- CDC / log-based replication
- -
- In-warehouse transformation (push-down)
- -
- dbt-native orchestration
- ✓
- Self-hosted / open-source available
- ✓
- Managed cloud available
- ✓
- Data lineage / asset catalog
- ✓
- Python-first authoring
- -
- Incremental / partition-aware runs
- ✓
- Built-in data quality / tests
- -
- Horizontal scale (distributed executor)
- ✓
Platform & deployment
Independently observed- CLI
- macOS
- Web
- Linux
- Windows
- Cloud / SaaS
- Hybrid
- On-premise
- Air-gapped
- Self-hosted
Integrations (5)
Independently observed- dbt
- Airbyte
- Terraform
- Ansible
- Spark
Kestra alternatives
Other data engineering tools we track, ranked by the same independent score.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Kestra, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Integrations | 94 | 30.00 | 2808.7 | ✓ |
| Capabilities | 81 | 16.00 | 1298.4 | ✓ |
| Price Level | 80 | 10.00 | 800.0 | ✓ |
| Security Posture | 45 | 14.00 | 630.0 | ✓ |
| Pricing Transparency | 25 | 16.00 | 400.0 | ✓ |
| Reliability | 0 | 14.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"role":"orchestrator","lineage":true,"paradigm":"both","dbt_native":true,"managed_cloud":true,"connector_count":"1800+","self_hosted_oss":true,"incremental_runs":true,"distributed_executor":true} | mediumsource · 2026-08-03 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 1,800 | mediumsource · 2026-08-03 · 60% |