DatriseAI-first ETL

Partnerstack to GoodData Integration

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

How Datrise loads Partnerstack into GoodData

Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Partnerstack: Partner, affiliate, and reseller program management.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Partnerstack entities map to GoodData

Partnerstack entityGoodData 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 GoodData?

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 GoodData types.

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

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

Related pipelines

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