Oracle Database to ThoughtSpot Integration
AI-first ETL from Oracle Database into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Oracle Database into ThoughtSpot
Datrise syncs Oracle Database's tables, rows, schemas, indexes, sequences, and redo log changes 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
Oracle Database: Oracle Database for enterprise transactional workloads.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Oracle Database entities map to ThoughtSpot
| Oracle Database entity | ThoughtSpot object | Notes |
|---|---|---|
| tables | oracle_db_tables | id PK · custom fields → flattened columns for searchable fields |
| rows | oracle_db_rows | id PK · linked to oracle_db_tables |
| schemas | oracle_db_schemas | id PK · linked to oracle_db_tables |
| indexes | oracle_db_indexes | id PK · linked to oracle_db_tables |
FAQ
How does Datrise handle Oracle Database'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 Oracle Database to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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More sources for ThoughtSpot
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