DatriseAI-first ETL

Onfleet to ClickHouse Integration

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

How Datrise loads Onfleet into ClickHouse

Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients 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

Onfleet: Last-mile delivery dispatch and driver tracking.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Onfleet entities map to ClickHouse

Onfleet entityClickHouse objectNotes
tasksonfleet_tasksid PK · custom fields → JSON or Map columns
workersonfleet_workersid PK · linked to onfleet_tasks
teamsonfleet_teamsid PK · linked to onfleet_tasks
destinationsonfleet_destinationsid PK · linked to onfleet_tasks

FAQ

How does Datrise handle Onfleet'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 Onfleet 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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