DatriseAI-first ETL

Polygon Stock API Birst

AI-first ETL from Polygon Stock API into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Polygon Stock API into Birst

Datrise syncs Polygon Stock API's records, events, and configuration objects 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

Polygon Stock API: SaaS or API data source for analytics and warehouse sync.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Polygon Stock API entities map to Birst

Polygon Stock API entityBirst objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → flattened columns
eventspolygon_stock_api_eventsdate/time dimensions events
configuration objectspolygon_stock_api_configuration_objectsid PK · linked to polygon_stock_api_records

FAQ

How does Datrise handle Polygon Stock API'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 Polygon Stock API to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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