Don't let data quality be an afterthought, run quality checks right alongside your data piplelines.
Dagster allows you to build data quality checks in code right where it matters the most. Use native Python, ensure freshness or leverage integrations with Great Expectation for data you can finally count on.
Adding real-time data quality checks to your existing pipelines is as simple as adding one line of code.
No more chasing downstream errors inside scattered dashboards.
With Dagster, you can either write your own data quality checks in Python, or integrate with data quality tools, like dbt tests, Soda, and Great Expectations.
Teams can now define data expectations once, and reuse that across pipelines.
Do what no other orchestrator does and leave your competitors in the dust.
Attach data quality tests to the data assets you care about source systems, through transformations, and all the way to your reporting layer and beyond.
Enforce data quality checks & rules right inside Dagster, preventing bad data from spilling into other data assets.
Dagster ties validations to lineage, so when something fails, you don’t just get an alert, you get context.
Catch schema mismatches, unexpected nulls and more, so you can finally trust every pipeline run.
Unlock the power of data orchestration with our demo or explore the open-source version.
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Dagster lets you define and run data quality checks where your data lives—alongside your pipelines. No separate tools, no disconnected alerting.
Whether you’re checking freshness, row counts, or nulls, Dagster lets you run checks inside your pipelines or on a schedule.
Use the UI to see where checks are defined, how they’re triggered, and which assets they apply to. No jumping between systems.
Checks are visible across your entire DAG.
If a single upstream asset fails a check, you’ll see the impact downstream—so issues never go unnoticed.
And because everything’s code-defined, it's easy to enforce data quality standards on all pipelines.
You get fine-grained visibility into every failure.
See which check failed, on which asset, and who owns it, without digging through logs or asking around. It's built for clarity, not chaos.
Alerts aren’t helpful if they just say tell you that something broke.
Dagster notifies you the moment something fails, along with where, and what it affects—allowing teams to go straight to the root cause.
