Orchestrate data and AI pipelines.
Stop managing brittle data pipelines.
Turn scattered pipelines into a single, coherent system—so your teams can ship AI‑ready data products faster, safer, and at scale.
Why modern data teams choose Dagster.
Leave fragile legacy data pipelines behind.
Legacy orchestration tools hide your data in a black box of low-visibility tasks. Dagster flips the script and models the data assets you care about: your tables, files, ML models, and notebooks all united in a single platform.
Ship faster, sleep better.
Stop coding like it's 2005. Local testing, branch deployments, and reusable components mean you can ship with confidence. Spend more time focusing on what matters and less time trying to glue it all together.
Built-in data quality, catalog and cost insights.
Run quality checks, validate freshness, trace data lineage, and see the cost behind every operation in one place.
Finally start finding problems before your stakeholders do.
Future-proof your stack.
Know which pipelines you can standardize
Dagster organizes everything around your data assets—so you can reduce complexity, write modular code, and reuse work across teams.
Designed for testability across all dev stages
From local dev to production, Dagster supports modern software engineering practices with modern dev APIs, CI/CD support, and isolated, testable code.
Know exactly what’s happening with your pipelines
With built-in observability, lineage, and real-time costs, you always know the state of your data platform—and can catch issues before they cause problems.
Ship data and AI products faster.
Automate, monitor, and optimize your data pipelines with ease. Get started today with a free trial or book a demo to see Dagster in action.
Orchestration without limits
From ingestion to transformation, modeling to delivery—Dagster makes it easy to build reliable workflows at every layer of the stack.
From warehouses to ML models
Dagster fits wherever you interface with data—whether that's orchestrating workflows in Snowflake, BigQuery, dbt, Python scripts, or modern AI pipelines.
Develop & test locally, in any stage in the development cycle
Develop locally, collaborate in code, watch it unfold in Dagster and deploy confidently, without the need to launch.
Everyone—from analysts to platform engineers—can contribute without friction.
Flexible enough to orchestrate anything
Dagster integrates with your favorite tools—like dbt, Spark, Fivetran, and Snowflake—but it’s more than just a connector. You define your pipelines in Dagster itself, giving you full control over orchestration, observability, and data quality across your stack
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