DatriseAI-first ETL

Polygon Stock API PlanetScale

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

How Datrise loads Polygon Stock API into PlanetScale

Datrise syncs Polygon Stock API's records, events, and configuration objects into PlanetScale 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.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Polygon Stock API: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Polygon Stock API entities map to PlanetScale

Polygon Stock API entityPlanetScale objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → JSON columns
eventspolygon_stock_api_eventsDATETIME 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 PlanetScale?

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 PlanetScale types.

How does the Polygon Stock API to PlanetScale 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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