DatriseAI-first ETL

Lemlist to ClickHouse Integration

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

How Datrise loads Lemlist into ClickHouse

Datrise syncs Lemlist's campaigns, leads, sequences, email events, replies, and activities 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

Lemlist: Cold email outreach and sequence automation.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Lemlist entities map to ClickHouse

Lemlist entityClickHouse objectNotes
campaignslemlist_campaignsid PK · custom fields → JSON or Map columns
leadslemlist_leadsid PK · linked to lemlist_campaigns
sequenceslemlist_sequencesid PK · linked to lemlist_campaigns
email eventslemlist_email_eventsDateTime64 events

FAQ

How does Datrise handle Lemlist'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 Lemlist 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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