Square → Birst
AI-first ETL from Square into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Square into Birst
Datrise syncs Square's payments, orders, customers, catalog items, and locations 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
Square: Payments and commerce platform for retail and online sellers.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Square entities map to Birst
| Square entity | Birst object | Notes |
|---|---|---|
| payments | square_payments | id PK · custom fields → flattened columns |
| orders | square_orders | id PK · linked to square_payments |
| customers | square_customers | id PK · linked to square_payments |
| catalog items | square_catalog_items | id PK · linked to square_payments |
FAQ
How does Datrise handle Square'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 Square to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
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