PostgreSQL to ThoughtSpot Integration
AI-first ETL from PostgreSQL into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads PostgreSQL into ThoughtSpot
Datrise syncs PostgreSQL's tables, rows, schemas, indexes, sequences, and replication slots 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
PostgreSQL: Self-managed PostgreSQL instances.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How PostgreSQL entities map to ThoughtSpot
| PostgreSQL entity | ThoughtSpot object | Notes |
|---|---|---|
| tables | hp_postgres_tables | id PK · custom fields → flattened columns for searchable fields |
| rows | hp_postgres_rows | id PK · linked to hp_postgres_tables |
| schemas | hp_postgres_schemas | id PK · linked to hp_postgres_tables |
| indexes | hp_postgres_indexes | id PK · linked to hp_postgres_tables |
FAQ
How does Datrise handle PostgreSQL'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 PostgreSQL to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for PostgreSQL
More sources for ThoughtSpot
Early access
Connect PostgreSQL to ThoughtSpot the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.