DatriseAI-first ETL

Polygon Stock API to Birst Integration

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 tickers, aggregate bars, trades, quotes, splits, and dividends 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: Equities market data, trades, and aggregates.

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

How Polygon Stock API entities map to Birst

Polygon Stock API entityBirst objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns
aggregate barspolygon_stock_api_aggregate_barsid PK · linked to polygon_stock_api_tickers
tradespolygon_stock_api_tradesid PK · linked to polygon_stock_api_tickers
quotespolygon_stock_api_quotesid PK · linked to polygon_stock_api_tickers

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

Early access

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