Attio → PostgreSQL
AI-first ETL from Attio into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Attio into PostgreSQL
Datrise syncs Attio's objects, lists, records, notes, and relationship workflows 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
Attio: Modern CRM source for relationship and pipeline data.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Attio entities map to PostgreSQL
| Attio entity | PostgreSQL object | Notes |
|---|---|---|
| objects | attio_objects | id PK · custom fields → jsonb columns |
| lists | attio_lists | id PK · linked to attio_objects |
| records | attio_records | id PK · linked to attio_objects |
| notes | attio_notes | id PK · linked to attio_objects |
FAQ
How does Datrise handle Attio'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 Attio 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
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Early access
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