DatriseAI-first ETL

Import API Microsoft SQL Server

AI-first ETL from Import API into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.

How Datrise loads Import API into Microsoft SQL Server

Datrise syncs Import API's records, events, and configuration objects 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

Import API: SaaS or API data source for analytics and warehouse sync.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Import API entities map to Microsoft SQL Server

Import API entityMicrosoft SQL Server objectNotes
recordsimport_api_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsimport_api_eventsdatetime2 events
configuration objectsimport_api_configuration_objectsid PK · linked to import_api_records

FAQ

How does Datrise handle Import API'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 Import API 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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