Merge to Chartio Integration
AI-first ETL from Merge into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Merge into Chartio
Datrise syncs Merge's linked accounts, employees, candidates, contacts, invoices, and sync statuses 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
Merge: Unified API across HR, CRM, and accounting tools.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Merge entities map to Chartio
| Merge entity | Chartio object | Notes |
|---|---|---|
| linked accounts | merge_linked_accounts | id PK · custom fields → flattened columns for visual SQL |
| employees | merge_employees | id PK · linked to merge_linked_accounts |
| candidates | merge_candidates | id PK · linked to merge_linked_accounts |
| contacts | merge_contacts | id PK · linked to merge_linked_accounts |
FAQ
How does Datrise handle Merge'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 Merge to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Merge
More sources for Chartio
Early access
Connect Merge to Chartio the easy way
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