DatriseAI-first ETL

Polygon Stock API to Amazon QuickSight Integration

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

How Datrise loads Polygon Stock API into Amazon QuickSight

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

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

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Polygon Stock API entities map to Amazon QuickSight

Polygon Stock API entityAmazon QuickSight objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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