DatriseAI-first ETL

Neon CRM to ClickHouse Integration

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

How Datrise loads Neon CRM into ClickHouse

Datrise syncs Neon CRM's accounts, donations, memberships, events, event registrations, and campaigns 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

Neon CRM: Nonprofit CRM spanning donations, memberships, and events.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Neon CRM entities map to ClickHouse

Neon CRM entityClickHouse objectNotes
accountsneoncrm_accountsid PK · custom fields → JSON or Map columns
donationsneoncrm_donationsid PK · linked to neoncrm_accounts
membershipsneoncrm_membershipsid PK · linked to neoncrm_accounts
eventsneoncrm_eventsDateTime64 events

FAQ

How does Datrise handle Neon 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 Neon 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

Early access

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