DatriseAI-first ETL

EmailOctopus to ClickHouse Integration

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

How Datrise loads EmailOctopus into ClickHouse

Datrise syncs EmailOctopus's contacts, lists, campaigns, email events, tags, and automations 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

EmailOctopus: Lightweight email campaigns and list management.

ClickHouse: Columnar OLAP engine for fast aggregations.

How EmailOctopus entities map to ClickHouse

EmailOctopus entityClickHouse objectNotes
contactsemailoctopus_contactsid PK · custom fields → JSON or Map columns
listsemailoctopus_listsid PK · linked to emailoctopus_contacts
campaignsemailoctopus_campaignsid PK · linked to emailoctopus_contacts
email eventsemailoctopus_email_eventsDateTime64 events

FAQ

How does Datrise handle EmailOctopus'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 EmailOctopus 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.

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