DatriseAI-first ETL

Partnerstack to Yellowfin Integration

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

How Datrise loads Partnerstack into Yellowfin

Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Partnerstack: Partner, affiliate, and reseller program management.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Partnerstack entities map to Yellowfin

Partnerstack entityYellowfin 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 Yellowfin?

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 Yellowfin types.

How does the Partnerstack to Yellowfin sync stay up to date?

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

Related pipelines

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