DatriseAI-first ETL

IBM IBM Db2 to Databricks SQL Warehouse Integration

AI-first ETL from IBM IBM Db2 into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads IBM IBM Db2 into Databricks SQL Warehouse

Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data 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

IBM IBM Db2: IBM relational database for transactional workloads.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How IBM IBM Db2 entities map to Databricks SQL Warehouse

IBM IBM Db2 entityDatabricks SQL Warehouse objectNotes
tablesdb2_tablesid PK · custom fields → VARIANT or STRUCT columns
rowsdb2_rowsid PK · linked to db2_tables
schemasdb2_schemasid PK · linked to db2_tables
indexesdb2_indexesid PK · linked to db2_tables

FAQ

How does Datrise handle IBM IBM Db2'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 IBM IBM Db2 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 IBM IBM Db2 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.