PostgreSQL to Chartio Integration
AI-first ETL from PostgreSQL into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostgreSQL into Chartio
Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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
PostgreSQL: Self-managed PostgreSQL instances.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How PostgreSQL entities map to Chartio
| PostgreSQL entity | Chartio object | Notes |
|---|---|---|
| tables | hp_postgres_tables | id PK · custom fields → flattened columns for visual SQL |
| rows | hp_postgres_rows | id PK · linked to hp_postgres_tables |
| schemas | hp_postgres_schemas | id PK · linked to hp_postgres_tables |
| indexes | hp_postgres_indexes | id PK · linked to hp_postgres_tables |
FAQ
How does Datrise handle PostgreSQL'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 PostgreSQL to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for PostgreSQL
Early access
Connect PostgreSQL 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.