DatriseAI-first ETL

Polygon Stock API MySQL

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

How Datrise loads Polygon Stock API into MySQL

Datrise syncs Polygon Stock API's records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.

MySQL: Widely used OSS relational engine (InnoDB).

How Polygon Stock API entities map to MySQL

Polygon Stock API entityMySQL objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → JSON columns
eventspolygon_stock_api_eventsDATETIME/TIMESTAMP events
configuration objectspolygon_stock_api_configuration_objectsid PK · linked to polygon_stock_api_records

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

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