DatriseAI-first ETL

Particle to Holistics Integration

AI-first ETL from Particle into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Particle into Holistics

Datrise syncs Particle's devices, events, variables, firmware versions, product fleets, and device logs into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Particle: IoT device fleet telemetry and events.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Particle entities map to Holistics

Particle entityHolistics objectNotes
devicesparticle_devicesid PK · custom fields → flattened columns for the modeling layer
eventsparticle_eventsdate/time dimensions events
variablesparticle_variablesid PK · linked to particle_devices
firmware versionsparticle_firmware_versionsid PK · linked to particle_devices

FAQ

How does Datrise handle Particle's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Particle to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

Early access

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