DatriseAI-first ETL

Polygon Stock API to Holistics Integration

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

How Datrise loads Polygon Stock API into Holistics

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Polygon Stock API: Equities market data, trades, and aggregates.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Polygon Stock API entities map to Holistics

Polygon Stock API entityHolistics objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Polygon Stock API to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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