IBM IBM Db2 to Microsoft SQL Server Integration
AI-first ETL from IBM IBM Db2 into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into Microsoft SQL Server
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How IBM IBM Db2 entities map to Microsoft SQL Server
| IBM IBM Db2 entity | Microsoft SQL Server object | Notes |
|---|---|---|
| tables | db2_tables | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| rows | db2_rows | id PK · linked to db2_tables |
| schemas | db2_schemas | id PK · linked to db2_tables |
| indexes | db2_indexes | id PK · linked to db2_tables |
FAQ
How does Datrise handle IBM IBM Db2's custom fields in Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the IBM IBM Db2 to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
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Early access
Connect IBM IBM Db2 to Microsoft SQL Server 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.