DatriseAI-first ETL

CockroachDB to ClickHouse Integration

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

How Datrise loads CockroachDB into ClickHouse

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

ClickHouse: Columnar OLAP engine for fast aggregations.

How CockroachDB entities map to ClickHouse

CockroachDB entityClickHouse objectNotes
tablescockroachdb_tablesid PK · custom fields → JSON or Map 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 ClickHouse?

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

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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