Particle to Klipfolio Integration

How Datrise loads Particle into Klipfolio

Datrise syncs Particle's devices, events, variables, firmware versions, product fleets, and device logs into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

Particle: IoT device fleet telemetry and events.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How Particle entities map to Klipfolio

Particle entity	Klipfolio object	Notes
devices	`particle_devices`	id PK · custom fields → flattened columns for Klips
events	`particle_events`	date/time columns events
variables	`particle_variables`	id PK · linked to particle_devices
firmware versions	`particle_firmware_versions`	id PK · linked to particle_devices

FAQ

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

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

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

It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.

Related pipelines

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