DatriseAI-first ETL

Partnerstack to Snowflake Integration

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

How Datrise loads Partnerstack into Snowflake

Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

Partnerstack: Partner, affiliate, and reseller program management.

Snowflake: Cloud data warehouse with separated compute and storage.

How Partnerstack entities map to Snowflake

Partnerstack entitySnowflake objectNotes
partnerspartnerstack_partnersid PK · custom fields → VARIANT 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 Snowflake?

Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.

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

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

Related pipelines

Early access

Connect Partnerstack to Snowflake the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.