DatriseAI-first ETL

Zapier to Azure Synapse Integration

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

How Datrise loads Zapier into Azure Synapse

Datrise syncs Zapier's zaps, task runs, triggers, actions, connected apps, and run statuses 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

Zapier: Automation runs connecting apps through triggers.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Zapier entities map to Azure Synapse

Zapier entityAzure Synapse objectNotes
zapszapier_zapsid PK · custom fields → NVARCHAR(MAX) JSON columns
task runszapier_task_runsid PK · linked to zapier_zaps
triggerszapier_triggersid PK · linked to zapier_zaps
actionszapier_actionsid PK · linked to zapier_zaps

FAQ

How does Datrise handle Zapier'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 Zapier 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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