PipeRun to Azure Synapse Integration

How Datrise loads PipeRun into Azure Synapse

Datrise syncs PipeRun's deals, contacts, companies, pipeline stages, activities, and sales teams 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

PipeRun: Sales pipeline management for Brazilian revenue teams.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How PipeRun entities map to Azure Synapse

PipeRun entity	Azure Synapse object	Notes
deals	`piperun_deals`	id PK · custom fields → NVARCHAR(MAX) JSON columns
contacts	`piperun_contacts`	id PK · linked to piperun_deals
companies	`piperun_companies`	id PK · linked to piperun_deals
pipeline stages	`piperun_pipeline_stages`	id PK · linked to piperun_deals

FAQ

How does Datrise handle PipeRun'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 PipeRun 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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