PipeRun → Azure Synapse
AI-first ETL from PipeRun into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads PipeRun into Azure Synapse
Datrise syncs PipeRun's contacts, accounts, deals, activities, and lifecycle events 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: CRM widely used in Latin America for sales pipeline and customer ops.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How PipeRun entities map to Azure Synapse
| PipeRun entity | Azure Synapse object | Notes |
|---|---|---|
| contacts | piperun_contacts | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| accounts | piperun_accounts | id PK · linked to piperun_contacts |
| deals | piperun_deals | id PK · linked to piperun_contacts |
| activities | piperun_activities | datetime2 events |
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.
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Early access
Connect PipeRun to Azure Synapse the easy way
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