DatriseAI-first ETL

Revinate to Microsoft SQL Server Integration

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

How Datrise loads Revinate into Microsoft SQL Server

Datrise syncs Revinate's guests, reservations, reviews, campaigns, hotels, and guest profiles 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

Revinate: Hospitality guest data and reputation management.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Revinate entities map to Microsoft SQL Server

Revinate entityMicrosoft SQL Server objectNotes
guestsrevinate_guestsid PK · custom fields → NVARCHAR(MAX) JSON columns
reservationsrevinate_reservationsid PK · linked to revinate_guests
reviewsrevinate_reviewsid PK · linked to revinate_guests
campaignsrevinate_campaignsid PK · linked to revinate_guests

FAQ

How does Datrise handle Revinate'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 Revinate 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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