DatriseAI-first ETL

Polygon Stock API to PostgreSQL Integration

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

How Datrise loads Polygon Stock API into PostgreSQL

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Polygon Stock API entities map to PostgreSQL

Polygon Stock API entityPostgreSQL objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → jsonb 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect Polygon Stock API to PostgreSQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.