DatriseAI-first ETL

Partnerstack to Holistics Integration

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

How Datrise loads Partnerstack into Holistics

Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Partnerstack: Partner, affiliate, and reseller program management.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Partnerstack entities map to Holistics

Partnerstack entityHolistics objectNotes
partnerspartnerstack_partnersid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

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

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

Related pipelines

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