DatriseAI-first ETL

Referral Saasquatch to ClickHouse Integration

AI-first ETL from Referral Saasquatch into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Referral Saasquatch into ClickHouse

Datrise syncs Referral Saasquatch's users, referrals, rewards, programs, redemptions, and account balances 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

Referral Saasquatch: Referral and loyalty program tracking.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Referral Saasquatch entities map to ClickHouse

Referral Saasquatch entityClickHouse objectNotes
usersreferral_saasquatch_usersid PK · custom fields → JSON or Map columns
referralsreferral_saasquatch_referralsid PK · linked to referral_saasquatch_users
rewardsreferral_saasquatch_rewardsid PK · linked to referral_saasquatch_users
programsreferral_saasquatch_programsid PK · linked to referral_saasquatch_users

FAQ

How does Datrise handle Referral Saasquatch'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 Referral Saasquatch 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

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