Firebolt to ThoughtSpot Integration
AI-first ETL from Firebolt into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Firebolt into ThoughtSpot
Datrise syncs Firebolt's databases, tables, aggregating indexes, query jobs, table schemas, and partitions 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
Firebolt: Cloud data warehouse tuned for fast analytics.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Firebolt entities map to ThoughtSpot
| Firebolt entity | ThoughtSpot object | Notes |
|---|---|---|
| databases | firebolt_databases | id PK · custom fields → flattened columns for searchable fields |
| tables | firebolt_tables | id PK · linked to firebolt_databases |
| aggregating indexes | firebolt_aggregating_indexes | id PK · linked to firebolt_databases |
| query jobs | firebolt_query_jobs | id PK · linked to firebolt_databases |
FAQ
How does Datrise handle Firebolt'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 Firebolt to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
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