DatriseAI-first ETL

Alpha Vantage PlanetScale

AI-first ETL from Alpha Vantage into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Alpha Vantage into PlanetScale

Datrise syncs Alpha Vantage'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

Alpha Vantage: SaaS or API data source for analytics and warehouse sync.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Alpha Vantage entities map to PlanetScale

Alpha Vantage entityPlanetScale objectNotes
recordsalpha_vantage_recordsid PK · custom fields → JSON columns
eventsalpha_vantage_eventsDATETIME events
configuration objectsalpha_vantage_configuration_objectsid PK · linked to alpha_vantage_records

FAQ

How does Datrise handle Alpha Vantage'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 Alpha Vantage 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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