DatriseAI-first ETL

Public API to PostgreSQL Integration

AI-first ETL from Public API into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Public API into PostgreSQL

Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps into PostgreSQL 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Public API: Generic REST endpoint pulled on a schedule.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Public API entities map to PostgreSQL

Public API entityPostgreSQL objectNotes
recordspublic_api_recordsid PK · custom fields → jsonb columns
response payloadspublic_api_response_payloadsid PK · linked to public_api_records
pagination cursorspublic_api_pagination_cursorsid PK · linked to public_api_records
request parameterspublic_api_request_parametersid PK · linked to public_api_records

FAQ

How does Datrise handle Public API's custom fields in PostgreSQL?

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 PostgreSQL types.

How does the Public API to PostgreSQL sync stay up to date?

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

Related pipelines

Early access

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