DatriseAI-first ETL

Exchange Rates API Neon

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

How Datrise loads Exchange Rates API into Neon

Datrise syncs Exchange Rates API's records, events, and configuration objects into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Exchange Rates API: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Exchange Rates API entities map to Neon

Exchange Rates API entityNeon objectNotes
recordsexchange_rates_api_recordsid PK · custom fields → jsonb columns
eventsexchange_rates_api_eventstimestamptz events
configuration objectsexchange_rates_api_configuration_objectsid PK · linked to exchange_rates_api_records

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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