DatriseAI-first ETL

MailerSend to ClickHouse Integration

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

How Datrise loads MailerSend into ClickHouse

Datrise syncs MailerSend's messages, templates, domains, delivery events, recipients, and bounces 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

MailerSend: Transactional email delivery and templates.

ClickHouse: Columnar OLAP engine for fast aggregations.

How MailerSend entities map to ClickHouse

MailerSend entityClickHouse objectNotes
messagesmailersend_messagesid PK · custom fields → JSON or Map columns
templatesmailersend_templatesid PK · linked to mailersend_messages
domainsmailersend_domainsid PK · linked to mailersend_messages
delivery eventsmailersend_delivery_eventsDateTime64 events

FAQ

How does Datrise handle MailerSend'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 MailerSend 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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