DatriseAI-first ETL

CockroachDB to MySQL Integration

AI-first ETL from CockroachDB into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads CockroachDB into MySQL

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

MySQL: Widely used OSS relational engine (InnoDB).

How CockroachDB entities map to MySQL

CockroachDB entityMySQL objectNotes
tablescockroachdb_tablesid PK · custom fields → JSON columns
rowscockroachdb_rowsid PK · linked to cockroachdb_tables
schemascockroachdb_schemasid PK · linked to cockroachdb_tables
secondary indexescockroachdb_secondary_indexesid PK · linked to cockroachdb_tables

FAQ

How does Datrise handle CockroachDB's custom fields in MySQL?

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

How does the CockroachDB to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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