Partnerstack to ClickHouse Integration
AI-first ETL from Partnerstack into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Partnerstack into ClickHouse
Datrise syncs Partnerstack's partners, customers, transactions, rewards, links, and group memberships into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Partnerstack: Partner, affiliate, and reseller program management.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Partnerstack entities map to ClickHouse
| Partnerstack entity | ClickHouse object | Notes |
|---|---|---|
| partners | partnerstack_partners | id PK · custom fields → JSON or Map 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 ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Partnerstack to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
Related pipelines
More destinations for Partnerstack
- 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
- Partnerstack → PlanetScale
More sources for ClickHouse
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