Secoda to Chartio Integration
AI-first ETL from Secoda into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Secoda into Chartio
Datrise syncs Secoda's tables, columns, dictionaries, lineage edges, owners, and documentation entries 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
Secoda: Data catalog, lineage, and documentation.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Secoda entities map to Chartio
| Secoda entity | Chartio object | Notes |
|---|---|---|
| tables | secoda_tables | id PK · custom fields → flattened columns for visual SQL |
| columns | secoda_columns | id PK · linked to secoda_tables |
| dictionaries | secoda_dictionaries | id PK · linked to secoda_tables |
| lineage edges | secoda_lineage_edges | id PK · linked to secoda_tables |
FAQ
How does Datrise handle Secoda'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 Secoda to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Secoda
Early access
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