Klaviyo → PostgreSQL
AI-first ETL from Klaviyo into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Klaviyo into PostgreSQL
Datrise syncs Klaviyo's profiles, segments, flows, campaigns, and attributed revenue 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
Klaviyo: E-commerce marketing automation with email and SMS.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Klaviyo entities map to PostgreSQL
| Klaviyo entity | PostgreSQL object | Notes |
|---|---|---|
| profiles | klaviyo_profiles | id PK · custom fields → jsonb columns |
| segments | klaviyo_segments | id PK · linked to klaviyo_profiles |
| flows | klaviyo_flows | id PK · linked to klaviyo_profiles |
| campaigns | klaviyo_campaigns | id PK · linked to klaviyo_profiles |
FAQ
How does Datrise handle Klaviyo'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 Klaviyo 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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