Import API to Azure Synapse Integration
AI-first ETL from Import API into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Import API into Azure Synapse
Datrise syncs Import API's records, payloads, batches, schemas, ingest timestamps, and source keys 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
Import API: Direct API push of custom records into a pipeline.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Import API entities map to Azure Synapse
| Import API entity | Azure Synapse object | Notes |
|---|---|---|
| records | import_api_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| payloads | import_api_payloads | id PK · linked to import_api_records |
| batches | import_api_batches | id PK · linked to import_api_records |
| schemas | import_api_schemas | id PK · linked to import_api_records |
FAQ
How does Datrise handle Import API'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 Import API to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
Related pipelines
More destinations for Import API
More sources for Azure Synapse
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