DatriseAI-first ETL

Paystack to ThoughtSpot Integration

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

How Datrise loads Paystack into ThoughtSpot

Datrise syncs Paystack's transactions, customers, plans, subscriptions, settlements, and refunds 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

Paystack: Online payment collection for African markets.

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

How Paystack entities map to ThoughtSpot

Paystack entityThoughtSpot objectNotes
transactionspaystack_transactionsid PK · custom fields → flattened columns for searchable fields
customerspaystack_customersid PK · linked to paystack_transactions
planspaystack_plansid PK · linked to paystack_transactions
subscriptionspaystack_subscriptionsid PK · linked to paystack_transactions

FAQ

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

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

Related pipelines

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