Fauna to Chartio Integration
AI-first ETL from Fauna into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Fauna into Chartio
Datrise syncs Fauna's collections, documents, indexes, functions, database schemas, and document history 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
Fauna: Distributed document-relational database.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Fauna entities map to Chartio
| Fauna entity | Chartio object | Notes |
|---|---|---|
| collections | fauna_collections | id PK · custom fields → flattened columns for visual SQL |
| documents | fauna_documents | id PK · linked to fauna_collections |
| indexes | fauna_indexes | id PK · linked to fauna_collections |
| functions | fauna_functions | id PK · linked to fauna_collections |
FAQ
How does Datrise handle Fauna'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 Fauna to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Fauna
Early access
Connect Fauna to Chartio the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.