3PL Central to Chartio Integration
AI-first ETL from 3PL Central into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads 3PL Central into Chartio
Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses 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
3PL Central: Third-party logistics warehouse and order operations.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How 3PL Central entities map to Chartio
| 3PL Central entity | Chartio object | Notes |
|---|---|---|
| orders | tplcentral_orders | id PK · custom fields → flattened columns for visual SQL |
| receipts | tplcentral_receipts | id PK · linked to tplcentral_orders |
| inventory levels | tplcentral_inventory_levels | id PK · linked to tplcentral_orders |
| items | tplcentral_items | id PK · linked to tplcentral_orders |
FAQ
How does Datrise handle 3PL Central'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 3PL Central to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for 3PL Central
Early access
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