DatriseAI-first ETL

SugarCRM ClickHouse

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

How Datrise loads SugarCRM into ClickHouse

Datrise syncs SugarCRM's enterprise account, opportunity, and customer-service intelligence data 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

SugarCRM: Enterprise CRM platform for sales, service, and account intelligence.

ClickHouse: Columnar OLAP engine for fast aggregations.

How SugarCRM entities map to ClickHouse

SugarCRM entityClickHouse objectNotes
enterprise accountsugarcrm_enterprise_accountid PK · custom fields → JSON or Map columns
opportunitysugarcrm_opportunityid PK · linked to sugarcrm_enterprise_account
customer-service intelligence datasugarcrm_customer_service_intelligence_dataid PK · linked to sugarcrm_enterprise_account

FAQ

How does Datrise handle SugarCRM'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 SugarCRM 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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