DatriseAI-first ETL

Salesforce Pardot ClickHouse

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

How Datrise loads Salesforce Pardot into ClickHouse

Datrise syncs Salesforce Pardot's contacts, accounts, deals, activities, and lifecycle 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

Salesforce Pardot: Marketing automation platform with CRM and lifecycle engagement.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Salesforce Pardot entities map to ClickHouse

Salesforce Pardot entityClickHouse objectNotes
contactssalesforce_pardot_contactsid PK · custom fields → JSON or Map columns
accountssalesforce_pardot_accountsid PK · linked to salesforce_pardot_contacts
dealssalesforce_pardot_dealsid PK · linked to salesforce_pardot_contacts
activitiessalesforce_pardot_activitiesDateTime64 events

FAQ

How does Datrise handle Salesforce Pardot'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 Salesforce Pardot 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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