Data Orchestration

Kestra, Open Source Declarative Data Orchestration

Use declarative language to build simpler, faster, scalable and flexible workflows

Cost

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Kestra to build and manage data workflows using declarative YAML code. It provides both a visual interface and code-based approach for orchestrating data pipelines, business processes, and infrastructure tasks. You can schedule workflows, trigger them via APIs or events, and run them on any infrastructure. The platform includes over 1100+ plugins to connect with third-party systems and comes with workflow templates to get started quickly.

What Kestra, Open Source Declarative Data Orchestration does

Create YAML workflow definitionsSchedule workflows to run automaticallySet up event-based workflow triggersConnect workflows to external APIs and databasesMonitor workflow execution and performanceDeploy workflows across different environmentsBuild custom plugins for specific integrationsConfigure alerting for workflow failuresWrite workflows in declarative YAML syntaxVisual workflow builder with code editorEvent-based triggers with millisecond latencyOver 1100+ plugins for third-party integrationsRun on any infrastructure without vendor lock-inBuilt-in revision history and rollbackReal-time monitoring and alerting250+ ready-to-use workflow templates

Pricing breakdown

PlanPrice10 seats / yr

Open Source$0—

Enterprise$0—

Annual estimates assume continuous billing at the listed list price. Volume discounts typical above 50 seats.

Frequently asked

Airbyte

dbt

AWS

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