DatriseAI-first ETL

Alpha Vantage to GoodData Integration

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

How Datrise loads Alpha Vantage into GoodData

Datrise syncs Alpha Vantage's time series quotes, symbols, technical indicators, fundamentals, and FX rates into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Alpha Vantage entities map to GoodData

Alpha Vantage entityGoodData 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 GoodData?

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 GoodData types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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