DatriseAI-first ETL

TiDB to Chartio Integration

AI-first ETL from TiDB into Chartio. Governed entities, incremental sync, typed landing tables.

How Datrise loads TiDB into Chartio

Datrise syncs TiDB's tables, rows, schemas, indexes, regions, and TiCDC change events 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

TiDB: MySQL-compatible HTAP database with row and column stores.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How TiDB entities map to Chartio

TiDB entityChartio objectNotes
tablestidb_tablesid PK · custom fields → flattened columns for visual SQL
rowstidb_rowsid PK · linked to tidb_tables
schemastidb_schemasid PK · linked to tidb_tables
indexestidb_indexesid PK · linked to tidb_tables

FAQ

How does Datrise handle TiDB'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 TiDB to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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