DatriseAI-first ETL

Hubplanner to Azure Synapse Integration

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

How Datrise loads Hubplanner into Azure Synapse

Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, and utilization rates 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

Hubplanner: Resource planning and utilization for agencies.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Hubplanner entities map to Azure Synapse

Hubplanner entityAzure Synapse objectNotes
bookingshubplanner_bookingsid PK · custom fields → NVARCHAR(MAX) JSON columns
resourceshubplanner_resourcesid PK · linked to hubplanner_bookings
projectshubplanner_projectsid PK · linked to hubplanner_bookings
clientshubplanner_clientsid PK · linked to hubplanner_bookings

FAQ

How does Datrise handle Hubplanner'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 Hubplanner 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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