DatriseAI-first ETL

Referral Saasquatch ClickHouse

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 records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Referral Saasquatch entities map to ClickHouse

Referral Saasquatch entityClickHouse objectNotes
recordsreferral_saasquatch_recordsid PK · custom fields → JSON or Map columns
eventsreferral_saasquatch_eventsDateTime64 events
configuration objectsreferral_saasquatch_configuration_objectsid PK · linked to referral_saasquatch_records

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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