DatriseAI-first ETL

Partnerstack to MicroStrategy Integration

AI-first ETL from Partnerstack into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads Partnerstack into MicroStrategy

Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships 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

Partnerstack: Partner, affiliate, and reseller program management.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Partnerstack entities map to MicroStrategy

Partnerstack entityMicroStrategy objectNotes
partnerspartnerstack_partnersid PK · custom fields → flattened columns
customerspartnerstack_customersid PK · linked to partnerstack_partners
transactionspartnerstack_transactionsid PK · linked to partnerstack_partners
rewardspartnerstack_rewardsid PK · linked to partnerstack_partners

FAQ

How does Datrise handle Partnerstack'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 Partnerstack to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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