IBM IBM Db2 to Azure Synapse Integration
AI-first ETL from IBM IBM Db2 into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads IBM IBM Db2 into Azure Synapse
Datrise syncs IBM IBM Db2's tables, rows, schemas, indexes, primary keys, and change data into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.
Ideal for Azure analytics estates feeding Power BI.
Endpoints
IBM IBM Db2: IBM relational database for transactional workloads.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How IBM IBM Db2 entities map to Azure Synapse
| IBM IBM Db2 entity | Azure Synapse 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 Azure Synapse?
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 Azure Synapse types.
How does the IBM IBM Db2 to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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