DatriseAI-first ETL

CockroachDB to Holistics Integration

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

How Datrise loads CockroachDB into Holistics

Datrise syncs CockroachDB's tables, rows, schemas, secondary indexes, ranges, and change feeds into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How CockroachDB entities map to Holistics

CockroachDB entityHolistics objectNotes
tablescockroachdb_tablesid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

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

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

Related pipelines

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