DatriseAI-first ETL

CockroachDB to ThoughtSpot Integration

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

How Datrise loads CockroachDB into ThoughtSpot

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

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

CockroachDB: Distributed SQL with survivable multi-region consistency.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How CockroachDB entities map to ThoughtSpot

CockroachDB entityThoughtSpot objectNotes
tablescockroachdb_tablesid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

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

Related pipelines

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