Particle to Redash Integration
AI-first ETL from Particle into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Particle into Redash
Datrise syncs Particle's devices, events, variables, firmware versions, product fleets, and device logs into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Particle: IoT device fleet telemetry and events.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Particle entities map to Redash
| Particle entity | Redash object | Notes |
|---|---|---|
| devices | particle_devices | id PK · custom fields → flattened columns for query results |
| events | particle_events | temporal 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Particle to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Particle
Early access
Connect Particle to Redash 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.