Square → Mode
AI-first ETL from Square into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Square into Mode
Datrise syncs Square's payments, orders, customers, catalog items, and locations into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Square: Payments and commerce platform for retail and online sellers.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Square entities map to Mode
| Square entity | Mode object | Notes |
|---|---|---|
| payments | square_payments | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Square to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Square
Early access
Connect Square to Mode the easy way
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