Query your lakehouse directly
Connect to Databricks SQL or Unity Catalog. No need to move or copy data into another platform.
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Integrations · Data warehouse
Sapien + Databricks
Use your Databricks Lakehouse data where it lives. Get full variance decomposition, traceable insights, and repeatable workflows without duplicating data.
How Sapien integrates with Databricks
Your catalogs and governance
We use your existing Unity Catalog schemas, tables, and views. The Company Engine maps entities and hierarchies for auditable output.
Your cadence, lakehouse scale
Queries run at your refresh cadence and leverage Databricks' compute. You keep control over cost and performance.
Learn more about Databricks.
What you can do better with Sapien
Databricks gives you the data. Sapien adds driver-level analysis, traceability, and repeatable workflows so your team spends less time reconciling and more time deciding.
Variance analysis on lakehouse data
Databricks stores and processes your data; Sapien decomposes why margin or cost moved. Get full variance walks and drill to row level with citations, so you can answer 'why did we miss?' in minutes.
One analytical layer on top of your lakehouse
Sapien sits on Databricks and understands your models and definitions. Finance and ops get self-service analysis and board-ready output without building another semantic layer.
Repeatable workflows instead of one-off notebooks
Turn the analysis you run every month into Workflow Agents that execute identically each period. Shift from ad-hoc notebook runs to a consistent analytical cadence.
Board-ready output with full traceability
Every number links back to source data and assumptions. Export to Excel, PDF, or slides in the format your board and auditors expect.