Salesloft → Azure Synapse
AI-first ETL from Salesloft into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into Azure Synapse
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution 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
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Salesloft entities map to Azure Synapse
| Salesloft entity | Azure Synapse object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | datetime2 events |
| conversation signals | salesloft_conversation_signals | id PK · linked to salesloft_cadence_activity |
| revenue workflow execution | salesloft_revenue_workflow_execution | id PK · linked to salesloft_cadence_activity |
FAQ
How does Datrise handle Salesloft'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 Salesloft 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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