DatriseAI-first ETL

TiDB to Microsoft Power BI Integration

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

How Datrise loads TiDB into Microsoft Power BI

Datrise syncs TiDB's tables, rows, schemas, indexes, regions, and TiCDC change events into Microsoft Power BI as star-schema-friendly tables for an Import or DirectQuery dataset. Flexible or custom fields land in flattened columns (nested fields expanded), and timestamps such as created, updated, and status changes are typed as date/time columns with a date table.

Sync is incremental: Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd, so re-runs update only what changed. Date-partitioned fact tables matching incremental-refresh policies. Power BI measures and relationships live in the .pbix model, so Datrise keeps the underlying tables stable and star-schema-shaped.

Ideal for Microsoft-stack self-serve reporting.

Endpoints

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

Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.

How TiDB entities map to Microsoft Power BI

TiDB entityMicrosoft Power BI objectNotes
tablestidb_tablesid PK · custom fields → flattened columns (nested fields expanded)
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 Microsoft Power BI?

Flexible values are stored as flattened columns (nested fields expanded), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft Power BI types.

How does the TiDB to Microsoft Power BI sync stay up to date?

It runs incrementally — Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd.

Related pipelines

Early access

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