DatriseAI-first ETL

CockroachDB to Yellowfin Integration

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

How Datrise loads CockroachDB into Yellowfin

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How CockroachDB entities map to Yellowfin

CockroachDB entityYellowfin objectNotes
tablescockroachdb_tablesid PK · custom fields → flattened 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 Yellowfin?

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

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

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

Related pipelines

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