DatriseAI-first ETL

Agendor to ClickHouse Integration

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

How Datrise loads Agendor into ClickHouse

Datrise syncs Agendor's organizations, people, deals, funnel stages, activities, and proposals 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

Agendor: Brazilian sales CRM for pipeline and account follow-up.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Agendor entities map to ClickHouse

Agendor entityClickHouse objectNotes
organizationsagendor_organizationsid PK · custom fields → JSON or Map columns
peopleagendor_peopleid PK · linked to agendor_organizations
dealsagendor_dealsid PK · linked to agendor_organizations
funnel stagesagendor_funnel_stagesid PK · linked to agendor_organizations

FAQ

How does Datrise handle Agendor'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 Agendor 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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