Polygon Stock API to MySQL Integration

How Datrise loads Polygon Stock API into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Polygon Stock API entities map to MySQL

Polygon Stock API entity	MySQL object	Notes
tickers	`polygon_stock_api_tickers`	id PK · custom fields → JSON columns
aggregate bars	`polygon_stock_api_aggregate_bars`	id PK · linked to polygon_stock_api_tickers
trades	`polygon_stock_api_trades`	id PK · linked to polygon_stock_api_tickers
quotes	`polygon_stock_api_quotes`	id PK · linked to polygon_stock_api_tickers

FAQ

How does Datrise handle Polygon Stock API's custom fields in MySQL?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

Early access

Connect Polygon Stock API to MySQL 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.