DatriseAI-first ETL

Alpha Vantage to Birst Integration

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

How Datrise loads Alpha Vantage into Birst

Datrise syncs Alpha Vantage's time series quotes, symbols, technical indicators, fundamentals, and FX rates into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

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

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Alpha Vantage entities map to Birst

Alpha Vantage entityBirst objectNotes
time series quotesalpha_vantage_time_series_quotesid PK · custom fields → flattened 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 Birst?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.

How does the Alpha Vantage to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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