Klaviyo → Chartio
AI-first ETL from Klaviyo into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Klaviyo into Chartio
Datrise syncs Klaviyo's profiles, segments, flows, campaigns, and attributed revenue into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Klaviyo: E-commerce marketing automation with email and SMS.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Klaviyo entities map to Chartio
| Klaviyo entity | Chartio object | Notes |
|---|---|---|
| profiles | klaviyo_profiles | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Klaviyo to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Klaviyo
Early access
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