DatriseAI-first ETL

Selligent to ClickHouse Integration

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

How Datrise loads Selligent into ClickHouse

Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers 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

Selligent: Enterprise cross-channel campaigns with real-time triggers.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Selligent entities map to ClickHouse

Selligent entityClickHouse objectNotes
contactsselligent_contactsid PK · custom fields → JSON or Map columns
journeysselligent_journeysid PK · linked to selligent_contacts
campaignsselligent_campaignsid PK · linked to selligent_contacts
message eventsselligent_message_eventsDateTime64 events

FAQ

How does Datrise handle Selligent'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 Selligent 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.

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