DatriseAI-first ETL

Brevo to ClickHouse Integration

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

How Datrise loads Brevo into ClickHouse

Datrise syncs Brevo's contacts, lists, campaigns, transactional emails, deals, and email events 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

Brevo: Email, SMS, and CRM for small business lifecycle marketing.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Brevo entities map to ClickHouse

Brevo entityClickHouse objectNotes
contactsbrevo_contactsid PK · custom fields → JSON or Map columns
listsbrevo_listsid PK · linked to brevo_contacts
campaignsbrevo_campaignsid PK · linked to brevo_contacts
transactional emailsbrevo_transactional_emailsid PK · linked to brevo_contacts

FAQ

How does Datrise handle Brevo'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 Brevo 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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