DatriseAI-first ETL

Onfleet to Azure Synapse Integration

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

How Datrise loads Onfleet into Azure Synapse

Datrise syncs Onfleet's tasks, workers, teams, destinations, delivery events, and recipients into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Onfleet: Last-mile delivery dispatch and driver tracking.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Onfleet entities map to Azure Synapse

Onfleet entityAzure Synapse objectNotes
tasksonfleet_tasksid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Onfleet to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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