DatriseAI-first ETL

Vantage ClickHouse

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

How Datrise loads Vantage into ClickHouse

Datrise syncs Vantage's records, events, and configuration objects 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

Vantage: SaaS or API data source for analytics and warehouse sync.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Vantage entities map to ClickHouse

Vantage entityClickHouse objectNotes
recordsvantage_recordsid PK · custom fields → JSON or Map columns
eventsvantage_eventsDateTime64 events
configuration objectsvantage_configuration_objectsid PK · linked to vantage_records

FAQ

How does Datrise handle Vantage'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 Vantage 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

Connect Vantage to ClickHouse the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.