DatriseAI-first ETL

Polygon Stock API to Oracle Database Integration

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

How Datrise loads Polygon Stock API into Oracle Database

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

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

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Polygon Stock API entities map to Oracle Database

Polygon Stock API entityOracle Database objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → JSON or CLOB 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 Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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