DatriseAI-first ETL

Aha to Azure Synapse Integration

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

How Datrise loads Aha into Azure Synapse

Datrise syncs Aha's features, releases, initiatives, ideas, goals, and epics 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

Aha: Product roadmapping and release planning.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Aha entities map to Azure Synapse

Aha entityAzure Synapse objectNotes
featuresaha_featuresid PK · custom fields → NVARCHAR(MAX) JSON columns
releasesaha_releasesid PK · linked to aha_features
initiativesaha_initiativesid PK · linked to aha_features
ideasaha_ideasid PK · linked to aha_features

FAQ

How does Datrise handle Aha'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 Aha 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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