Fauna to Microsoft SQL Server Integration

How Datrise loads Fauna into Microsoft SQL Server

Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history 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

Fauna: Distributed document-relational database.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Fauna entities map to Microsoft SQL Server

Fauna entity	Microsoft SQL Server object	Notes
collections	`fauna_collections`	id PK · custom fields → NVARCHAR(MAX) JSON columns
documents	`fauna_documents`	id PK · linked to fauna_collections
indexes	`fauna_indexes`	id PK · linked to fauna_collections
functions	`fauna_functions`	id PK · linked to fauna_collections

FAQ

How does Datrise handle Fauna'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 Fauna 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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