DatriseAI-first ETL

Kyriba to ThoughtSpot Integration

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

How Datrise loads Kyriba into ThoughtSpot

Datrise syncs Kyriba's bank accounts, cash positions, payments, transactions, forecasts, and bank statements 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

Kyriba: Treasury, cash, and liquidity management.

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

How Kyriba entities map to ThoughtSpot

Kyriba entityThoughtSpot objectNotes
bank accountskyriba_bank_accountsid PK · custom fields → flattened columns for searchable fields
cash positionskyriba_cash_positionsid PK · linked to kyriba_bank_accounts
paymentskyriba_paymentsid PK · linked to kyriba_bank_accounts
transactionskyriba_transactionsid PK · linked to kyriba_bank_accounts

FAQ

How does Datrise handle Kyriba'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 Kyriba to ThoughtSpot sync stay up to date?

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

Related pipelines

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