Databricks
Connect Databricks tables to Speckle to combine enterprise data with AEC model context, AI chat, and project analytics.
Turn Databricks data into project intelligence
Bring enterprise data alongside your design and BIM models.
Design and enterprise data coming together
Bring your enterprise datasets into Speckle alongside design and BIM data. Teams understand project performance in one place instead of stitching it together across systems.
Activate the data you already own
Connect what already lives in Databricks: cost, schedule, carbon, procurement, portfolio benchmarks, asset and risk registers, and model-derived tables. You extend your existing data investment rather than building another silo.
Column-level access
Access is scoped column by column, not table by table, through admin-granted SQL permissions. Project teams see exactly what they need and nothing more.
Read-only by design
Speckle only reads the catalogs, schemas, tables, and columns you grant it access to. It never writes, alters, or deletes warehouse data, so the integration stays auditable and within your existing controls.
Portfolio-level visibility
Compare projects using governed warehouse data and model context side by side. Leadership gets consistent, benchmarked insight across the portfolio without relying on manual exports.
AI-assisted answers over trusted data
Let teams ask questions across registered Databricks sources with Speckle Intelligence, then combine those answers with model-driven insight.