DatriseAI-first ETL

SurveySparrow to Azure Synapse Integration

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

How Datrise loads SurveySparrow into Azure Synapse

Datrise syncs SurveySparrow's surveys, responses, questions, contacts, NPS scores, and share links 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

SurveySparrow: Conversational surveys and feedback workflows.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How SurveySparrow entities map to Azure Synapse

SurveySparrow entityAzure Synapse objectNotes
surveyssurveysparrow_surveysid PK · custom fields → NVARCHAR(MAX) JSON columns
responsessurveysparrow_responsesid PK · linked to surveysparrow_surveys
questionssurveysparrow_questionsid PK · linked to surveysparrow_surveys
contactssurveysparrow_contactsid PK · linked to surveysparrow_surveys

FAQ

How does Datrise handle SurveySparrow'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 SurveySparrow 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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