TiDB to DuckDB Integration
AI-first ETL from TiDB into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads TiDB into DuckDB
Datrise syncs TiDB's tables, rows, schemas, indexes, regions, and TiCDC change events into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
TiDB: MySQL-compatible HTAP database with row and column stores.
DuckDB: In-process analytics database for fast local OLAP.
How TiDB entities map to DuckDB
| TiDB entity | DuckDB object | Notes |
|---|---|---|
| tables | tidb_tables | id PK · custom fields → JSON or STRUCT columns |
| rows | tidb_rows | id PK · linked to tidb_tables |
| schemas | tidb_schemas | id PK · linked to tidb_tables |
| indexes | tidb_indexes | id PK · linked to tidb_tables |
FAQ
How does Datrise handle TiDB's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the TiDB to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for TiDB
Early access
Connect TiDB to DuckDB the easy way
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