DatriseAI-first ETL

TiDB to Birst Integration

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

How Datrise loads TiDB into Birst

Datrise syncs TiDB's tables, rows, schemas, indexes, regions, and TiCDC change events into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

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

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How TiDB entities map to Birst

TiDB entityBirst objectNotes
tablestidb_tablesid PK · custom fields → flattened columns
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 Birst?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.

How does the TiDB to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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