DatriseAI-first ETL

TiDB to MongoDB Integration

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

How Datrise loads TiDB into MongoDB

Datrise syncs TiDB's tables, rows, schemas, indexes, regions, and TiCDC change events into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

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

MongoDB: Document database for flexible schemas.

How TiDB entities map to MongoDB

TiDB entityMongoDB objectNotes
tablestidb_tablesid PK · custom fields → native nested documents
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 MongoDB?

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

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

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

Early access

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