Salesflare → Azure Synapse
AI-first ETL from Salesflare into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into Azure Synapse
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Salesflare entities map to Azure Synapse
| Salesflare entity | Azure Synapse object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | datetime2 events |
FAQ
How does Datrise handle Salesflare'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 Salesflare 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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