Salesforce → Birst
AI-first ETL from Salesforce into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesforce into Birst
Datrise syncs Salesforce's accounts, opportunities, contacts, tasks, and pipeline stage history into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Salesforce: Enterprise CRM and Customer 360 platform.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Salesforce entities map to Birst
| Salesforce entity | Birst object | Notes |
|---|---|---|
| accounts | salesforce_accounts | id PK · custom fields → flattened columns |
| opportunities | salesforce_opportunities | id PK · linked to salesforce_accounts |
| contacts | salesforce_contacts | id PK · linked to salesforce_accounts |
| tasks | salesforce_tasks | id PK · linked to salesforce_accounts |
FAQ
How does Datrise handle Salesforce's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Salesforce to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
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