DatriseAI-first ETL

HubSpot Operations Hub to ClickHouse Integration

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

How Datrise loads HubSpot Operations Hub into ClickHouse

Datrise syncs HubSpot Operations Hub's contacts, companies, deals, sync records, data quality issues, and workflow actions 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 Operations Hub: Data sync, cleansing, and workflow extensions for HubSpot.

ClickHouse: Columnar OLAP engine for fast aggregations.

How HubSpot Operations Hub entities map to ClickHouse

HubSpot Operations Hub entityClickHouse objectNotes
contactshubspot_operations_contactsid PK · custom fields → JSON or Map columns
companieshubspot_operations_companiesid PK · linked to hubspot_operations_contacts
dealshubspot_operations_dealsid PK · linked to hubspot_operations_contacts
sync recordshubspot_operations_sync_recordsid PK · linked to hubspot_operations_contacts

FAQ

How does Datrise handle HubSpot Operations Hub'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 Operations Hub 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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