Klaviyo → Yellowfin
AI-first ETL from Klaviyo into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Klaviyo into Yellowfin
Datrise syncs Klaviyo's profiles, segments, flows, campaigns, and attributed revenue into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Klaviyo: E-commerce marketing automation with email and SMS.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Klaviyo entities map to Yellowfin
| Klaviyo entity | Yellowfin object | Notes |
|---|---|---|
| profiles | klaviyo_profiles | id PK · custom fields → flattened 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 Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Klaviyo to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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