JSON File to Microsoft SQL Server Integration
AI-first ETL from JSON File into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads JSON File into Microsoft SQL Server
Datrise syncs JSON File's documents, nested objects, arrays, keys, file batches, and schemas 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
JSON File: Structured JSON documents from exports and drops.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How JSON File entities map to Microsoft SQL Server
| JSON File entity | Microsoft SQL Server object | Notes |
|---|---|---|
| documents | json_file_documents | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| nested objects | json_file_nested_objects | id PK · linked to json_file_documents |
| arrays | json_file_arrays | id PK · linked to json_file_documents |
| keys | json_file_keys | id PK · linked to json_file_documents |
FAQ
How does Datrise handle JSON File'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 JSON File to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
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Early access
Connect JSON File 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.