DatriseAI-first ETL

HubSpot CRM ClickHouse

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

How Datrise loads HubSpot CRM into ClickHouse

Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement 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

HubSpot CRM: Inbound CRM with marketing, sales, and service hubs.

ClickHouse: Columnar OLAP engine for fast aggregations.

How HubSpot CRM entities map to ClickHouse

HubSpot CRM entityClickHouse objectNotes
contactshubspot_contactsid PK · custom fields → JSON or Map columns
companieshubspot_companiesid PK · linked to hubspot_contacts
dealshubspot_dealsid PK · linked to hubspot_contacts
lifecycle stageshubspot_lifecycle_stagesid PK · linked to hubspot_contacts

FAQ

How does Datrise handle HubSpot CRM'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 HubSpot CRM 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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