DatriseAI-first ETL

Marketo Bulk to ClickHouse Integration

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

How Datrise loads Marketo Bulk into ClickHouse

Datrise syncs Marketo Bulk's leads, activities, program memberships, email events, lists, and custom objects 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

Marketo Bulk: Bulk export of Marketo lead and activity history.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Marketo Bulk entities map to ClickHouse

Marketo Bulk entityClickHouse objectNotes
leadsmarketo_bulk_leadsid PK · custom fields → JSON or Map columns
activitiesmarketo_bulk_activitiesDateTime64 events
program membershipsmarketo_bulk_program_membershipsid PK · linked to marketo_bulk_leads
email eventsmarketo_bulk_email_eventsDateTime64 events

FAQ

How does Datrise handle Marketo Bulk'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 Marketo Bulk 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

Early access

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