Head-to-Head Comparison
Kestra vs Dagster
Compare features, pricing, integrations, and community reviews
Kestra
AutomateKestra is an open-source, declarative workflow orchestration platform designed for automating processes across data, AI, and infrastructure domains. It supports both code-based definitions, emphasizing a YAML-first and 'everything as code' approach, and UI-driven workflow creation. The platform operates as an event-driven system with a plugin ecosystem and offers built-in agentic automation. Kestra supports multiple languages for workflow definitions, catering to data, software, and platform engineers seeking to manage complex automation tasks.
Dagster
AutomateDagster is an open-source, AI-native data orchestrator platform for building, observing, and managing data assets. It provides an asset-centric approach to data workflows, emphasizing data lineage, quality, and integrated observability. This platform supports the entire lifecycle of data assets. It functions as an operational layer for structuring how data is built and delivered, enabling reliable data for teams and AI agents. Dagster is particularly suited for ETL/ELT pipelines, AI/Machine Learning workflows, and data modernization initiatives, offering strong developer experience and metadata tracking.
Pricing
Community Verdict
Kestra
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Dagster
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At a Glance
Kestra
Best For
Automate, Orchestration, Graph Builders
Pricing
freemium
Key Features
Kestra offers over 1700 plugins for extensive integration capabilities. · The platform supports a YAML-first, 'everything as code' approach for workflow definitions. · Kestra 1.0, released in September 2025, introduced an AI Copilot and AI Agents.
Dagster
Best For
Automate, Orchestration, Graph Builders
Pricing
freemium
Key Features
Dagster holds a 4.6/5 rating based on 446 user reviews on Noizz.io. · It supports Python 3.12, 3.13, and 3.14 for `dagster-airlift`. · Over 20 new or expanded components have been added for integrations with dbt Cloud, Spark, Azure, and GCP.
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