DatriseAI-first ETL

Orbit to Azure Synapse Integration

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

How Datrise loads Orbit into Azure Synapse

Datrise syncs Orbit's members, activities, organizations, love scores, tags, and activity types 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

Orbit: Community member activity and engagement scoring.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Orbit entities map to Azure Synapse

Orbit entityAzure Synapse objectNotes
membersorbit_membersid PK · custom fields → NVARCHAR(MAX) JSON columns
activitiesorbit_activitiesdatetime2 events
organizationsorbit_organizationsid PK · linked to orbit_members
love scoresorbit_love_scoresid PK · linked to orbit_members

FAQ

How does Datrise handle Orbit'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 Orbit 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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