Particle to PostgreSQL Integration
AI-first ETL from Particle into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Particle into PostgreSQL
Datrise syncs Particle's devices, events, variables, firmware versions, product fleets, and device logs into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Particle: IoT device fleet telemetry and events.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Particle entities map to PostgreSQL
| Particle entity | PostgreSQL object | Notes |
|---|---|---|
| devices | particle_devices | id PK · custom fields → jsonb columns |
| events | particle_events | timestamptz 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Particle to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for Particle
- Particle → MySQL
- Particle → Microsoft SQL Server
- Particle → Oracle Database
- Particle → Snowflake
- Particle → Google BigQuery
- Particle → Amazon Redshift
- Particle → Databricks SQL Warehouse
- Particle → ClickHouse
- Particle → DuckDB
- Particle → Amazon Athena
- Particle → Amazon S3 Data Lake
- Particle → Azure Data Lake Storage
More sources for PostgreSQL
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