DatriseAI-first ETL

Polygon Stock API to Spotfire Integration

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

How Datrise loads Polygon Stock API into Spotfire

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

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Polygon Stock API entities map to Spotfire

Polygon Stock API entitySpotfire objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → flattened columns for visualizations
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 Spotfire?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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