Impact to PostgreSQL Integration
AI-first ETL from Impact into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Impact into PostgreSQL
Datrise syncs Impact's partners, actions, clicks, conversions, payouts, and campaigns 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
Impact: Partnership and affiliate performance tracking.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Impact entities map to PostgreSQL
| Impact entity | PostgreSQL object | Notes |
|---|---|---|
| partners | impact_partners | id PK · custom fields → jsonb columns |
| actions | impact_actions | id PK · linked to impact_partners |
| clicks | impact_clicks | id PK · linked to impact_partners |
| conversions | impact_conversions | id PK · linked to impact_partners |
FAQ
How does Datrise handle Impact'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 Impact 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.
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Early access
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