DatriseAI-first ETL

Instatus to Azure Synapse Integration

AI-first ETL from Instatus into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Instatus into Azure Synapse

Datrise syncs Instatus's incidents, components, incident updates, subscribers, status page views, and uptime history into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Instatus: Fast status pages with incident timelines and subscribers.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Instatus entities map to Azure Synapse

Instatus entityAzure Synapse 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 Azure Synapse?

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 Azure Synapse types.

How does the Instatus to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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