DatriseAI-first ETL

Alpha Vantage to PlanetScale Integration

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 time series quotes, symbols, technical indicators, fundamentals, and FX rates 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: Market data API for equities, FX, and indicators.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Alpha Vantage entities map to PlanetScale

Alpha Vantage entityPlanetScale objectNotes
time series quotesalpha_vantage_time_series_quotesid PK · custom fields → JSON columns
symbolsalpha_vantage_symbolsid PK · linked to alpha_vantage_time_series_quotes
technical indicatorsalpha_vantage_technical_indicatorsid PK · linked to alpha_vantage_time_series_quotes
fundamentalsalpha_vantage_fundamentalsid PK · linked to alpha_vantage_time_series_quotes

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

Early access

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