DatriseAI-first ETL

Exchange Rates API to Snowflake Integration

AI-first ETL from Exchange Rates API into Snowflake. Governed entities, incremental sync, typed landing tables.

How Datrise loads Exchange Rates API into Snowflake

Datrise syncs Exchange Rates API's exchange rates, currency pairs, base currencies, rate dates, and historical rates into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

Exchange Rates API: Foreign exchange reference rates by currency pair.

Snowflake: Cloud data warehouse with separated compute and storage.

How Exchange Rates API entities map to Snowflake

Exchange Rates API entitySnowflake objectNotes
exchange ratesexchange_rates_api_exchange_ratesTIMESTAMP_TZ events
currency pairsexchange_rates_api_currency_pairsid PK · linked to exchange_rates_api_exchange_rates
base currenciesexchange_rates_api_base_currenciesid PK · linked to exchange_rates_api_exchange_rates
rate datesexchange_rates_api_rate_datesid PK · linked to exchange_rates_api_exchange_rates

FAQ

How does Datrise handle Exchange Rates API's custom fields in Snowflake?

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

How does the Exchange Rates API to Snowflake sync stay up to date?

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

Related pipelines

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