DatriseAI-first ETL

Polygon Stock API to Redash Integration

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

How Datrise loads Polygon Stock API into Redash

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Polygon Stock API entities map to Redash

Polygon Stock API entityRedash objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

Early access

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