Better together
Dagster
+
Databricks

The control plane your lakehouse needs

Orchestrate across workspaces, govern across teams, and observe across your entire stack — while Databricks does what it does best: compute.

Trusted by teams building modern data platforms, worldwide

$1.7M
in accelerated
time-to-value

See what Dagster and Databricks can do

Learn how Dagster and Databricks work better together through demos, deep dives, and real workflows.

Deep Dive: Building a Cross-Workspace Control Plane for Databricks

Learn how to build a cross-workspace control plane for Databricks using Dagster — connecting multiple workspaces, dbt, and Fivetran into a single observable asset graph with zero code changes to get started.

Unlocking the Full Value of Your Databricks

Databricks consolidation solves platform sprawl, but not cross-team coordination. Learn how Dagster complements Unity Catalog with orchestration, observability, and end-to-end operational visibility across the full stack.

How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind

How to Orchestrate Across Multiple Databricks Workspaces Without Losing Your Mind

Lakeflow Jobs can't see across workspace boundaries. Learn how Dagster unifies multiple Databricks workspaces into a single asset graph with real dependencies.

Why enterprises add Dagster 
to Databricks

Cross-workspace orchestration

Databricks Workflows operates within one workspace; Dagster spans all of them.

Full-stack lineage

Dagster tracks assets across modern data platforms, filling the gaps Unity Catalog's lineage doesn't cover.

Multi-team governance

RBAC, ownership, freshness SLAs, and quality gates enforced across teams and workspaces.

“Dagster handles tracking of data dependencies, versions, and dataset state while letting us keep processing in our own infrastructure.”
Dennis Schwartz
Dennis Schwartz
Lead Data Engineer
“Dagster handles tracking of data dependencies, versions, and dataset state while letting us keep processing in our own infrastructure.”
Dennis Schwartz
Dennis Schwartz
Lead Data Engineer
“Dagster’s asset graph acts like a calculator for data dependencies and allows you to horizontally scale across org structures and teams in the enterprise.”
Georg Heiler
Georg Heiler
Senior Data Expert
“Dagster’s asset graph acts like a calculator for data dependencies and allows you to horizontally scale across org structures and teams in the enterprise.”
Georg Heiler
Georg Heiler
Senior Data Expert
“Dagster acts as a central plane for understanding data lineage, monitoring asset states, and orchestrating pipelines to update them.”
Guillaume Tauzin
Guillaume Tauzin
ML Engineer
“Dagster acts as a central plane for understanding data lineage, monitoring asset states, and orchestrating pipelines to update them.”
Guillaume Tauzin
Guillaume Tauzin
ML Engineer
Unlock the full power of Dagster and 
Databricks together

Start in 5 minutes, 
orchestrate in 5 days

Phase 1

Observe

Connect workspace, auto-discover assets, zero code changes.

Phase 2

Orchestrate

Add Pipes to critical jobs, get bidirectional communication.

Phase 3

Govern

Add quality gates, freshness policies, RBAC, SSO/SCIM.