DatriseAI-first ETL

Sendwithus to ClickHouse Integration

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

How Datrise loads Sendwithus into ClickHouse

Datrise syncs Sendwithus's templates, sends, customers, delivery events, versions, and drip campaigns 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

Sendwithus: Templated transactional email and A/B testing.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Sendwithus entities map to ClickHouse

Sendwithus entityClickHouse objectNotes
templatessendwithus_templatesid PK · custom fields → JSON or Map columns
sendssendwithus_sendsid PK · linked to sendwithus_templates
customerssendwithus_customersid PK · linked to sendwithus_templates
delivery eventssendwithus_delivery_eventsDateTime64 events

FAQ

How does Datrise handle Sendwithus'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 Sendwithus 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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