DatriseAI-first ETL

CockroachDB to Redash Integration

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

How Datrise loads CockroachDB into Redash

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How CockroachDB entities map to Redash

CockroachDB entityRedash objectNotes
tablescockroachdb_tablesid PK · custom fields → flattened columns for query results
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 Redash?

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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