Partnerstack to Databricks SQL Warehouse Integration
AI-first ETL from Partnerstack into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Partnerstack into Databricks SQL Warehouse
Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.
Ideal for lakehouse analytics and ML feature tables on Databricks.
Endpoints
Partnerstack: Partner, affiliate, and reseller program management.
Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.
How Partnerstack entities map to Databricks SQL Warehouse
| Partnerstack entity | Databricks SQL Warehouse object | Notes |
|---|---|---|
| partners | partnerstack_partners | id PK · custom fields → VARIANT or STRUCT columns |
| customers | partnerstack_customers | id PK · linked to partnerstack_partners |
| transactions | partnerstack_transactions | id PK · linked to partnerstack_partners |
| rewards | partnerstack_rewards | id PK · linked to partnerstack_partners |
FAQ
How does Datrise handle Partnerstack's custom fields in Databricks SQL Warehouse?
Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.
How does the Partnerstack to Databricks SQL Warehouse sync stay up to date?
It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.
Related pipelines
More destinations for Partnerstack
- Partnerstack → ClickHouse
- Partnerstack → DuckDB
- Partnerstack → Amazon Athena
- Partnerstack → Amazon S3 Data Lake
- Partnerstack → Azure Data Lake Storage
- Partnerstack → Azure Synapse
- Partnerstack → Spreadsheets
- Partnerstack → Airtable
- Partnerstack → CSV Files
- Partnerstack → MongoDB
- Partnerstack → Supabase
- Partnerstack → Neon
More sources for Databricks SQL Warehouse
- PayPal Transactions → Databricks SQL Warehouse
- Paystack → Databricks SQL Warehouse
- Pepperjam → Databricks SQL Warehouse
- Persistiq → Databricks SQL Warehouse
- Pinterest Ads → Databricks SQL Warehouse
- Pivotal Tracker → Databricks SQL Warehouse
- Plaid → Databricks SQL Warehouse
- Platform Purple → Databricks SQL Warehouse
- Plausible → Databricks SQL Warehouse
- Polygon Stock API → Databricks SQL Warehouse
- PostHog → Databricks SQL Warehouse
- Postmark → Databricks SQL Warehouse
Early access
Connect Partnerstack to Databricks SQL Warehouse 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.