DatriseAI-first ETL

Alpha Vantage to MySQL Integration

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

How Datrise loads Alpha Vantage into MySQL

Datrise syncs Alpha Vantage's time series quotes, symbols, technical indicators, fundamentals, and FX rates 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

Alpha Vantage: Market data API for equities, FX, and indicators.

MySQL: Widely used OSS relational engine (InnoDB).

How Alpha Vantage entities map to MySQL

Alpha Vantage entityMySQL 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 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 Alpha Vantage 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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