Paystack to MicroStrategy Integration
AI-first ETL from Paystack into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Paystack into MicroStrategy
Datrise syncs Paystack's transactions, customers, plans, subscriptions, settlements, and refunds into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.
Ideal for large-scale enterprise reporting and governance.
Endpoints
Paystack: Online payment collection for African markets.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Paystack entities map to MicroStrategy
| Paystack entity | MicroStrategy object | Notes |
|---|---|---|
| transactions | paystack_transactions | id PK · custom fields → flattened columns |
| customers | paystack_customers | id PK · linked to paystack_transactions |
| plans | paystack_plans | id PK · linked to paystack_transactions |
| subscriptions | paystack_subscriptions | id PK · linked to paystack_transactions |
FAQ
How does Datrise handle Paystack's custom fields in MicroStrategy?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MicroStrategy types.
How does the Paystack to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
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