About Kestra
Kestra is an open-source declarative data orchestration platform. It’s designed for cross-functional teams to build, run, and govern data pipelines, infrastructure automation, and AI workflows from a single engine.
Key Features
For teams running multi-tool data pipelines and automation across clouds, Kestra acts as the central workflow engine with governance and observability:
Declarative YAML Workflows
Define, version, review, and ship workflows in YAML so changes are trackable and repeatable.
Plugins & integrations
Access 2000+ plugins to connect sources, sinks, and services (dbt, Airbyte, Spark, Terraform, Ansible, cloud providers), with language-agnostic task definitions.
Deployment options
Cloud or self-hosted deployment with API-first access for automation and governance.
End-to-end data pipeline orchestration
Run ingestion, transformations, quality checks, and orchestration for dbt, Airbyte, Spark in a single engine.
Summary
Best for infrastructure engineering, data engineering, and AI/automation teams building cross-cloud data pipelines and business automation.
Pricing
View pricingOpen-Source Edition
Free / N/A
- Core Features
- Open Source Under Apache 2.0 Licence
Enterprise Edition
On-Demand / Per Instance
- Everything in Open-source
- Governance
- Security
- Productivity
- Scalability
- Customer Success Program
- Enterprise Support with SLA
