DatriseAI-first ETL

TiDB to PostgreSQL Integration

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

How Datrise loads TiDB into PostgreSQL

Datrise syncs TiDB's tables, rows, schemas, indexes, regions, and TiCDC change events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How TiDB entities map to PostgreSQL

TiDB entityPostgreSQL objectNotes
tablestidb_tablesid PK · custom fields → jsonb 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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