DatriseAI-first ETL

Clay to Databricks SQL Warehouse Integration

AI-first ETL from Clay into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Clay into Databricks SQL Warehouse

Datrise syncs Clay's tables, rows, enrichment runs, waterfalls, data sources, and exported lists into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

Clay: Data enrichment tables that build outbound lists.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Clay entities map to Databricks SQL Warehouse

Clay entityDatabricks SQL Warehouse objectNotes
tablesclay_tablesid PK · custom fields → VARIANT or STRUCT columns
rowsclay_rowsid PK · linked to clay_tables
enrichment runsclay_enrichment_runsid PK · linked to clay_tables
waterfallsclay_waterfallsid PK · linked to clay_tables

FAQ

How does Datrise handle Clay's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Clay to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

Early access

Connect Clay to Databricks SQL Warehouse the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.