DatriseAI-first ETL

Instatus to Microsoft SQL Server Integration

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

How Datrise loads Instatus into Microsoft SQL Server

Datrise syncs Instatus's incidents, components, incident updates, subscribers, status page views, and uptime 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

Instatus: Fast status pages with incident timelines and subscribers.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Instatus entities map to Microsoft SQL Server

Instatus entityMicrosoft SQL Server objectNotes
incidentsinstatus_incidentsid PK · custom fields → NVARCHAR(MAX) JSON columns
componentsinstatus_componentsid PK · linked to instatus_incidents
incident updatesinstatus_incident_updatesid PK · linked to instatus_incidents
subscribersinstatus_subscribersid PK · linked to instatus_incidents

FAQ

How does Datrise handle Instatus'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 Instatus 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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