Compress · Sensors & IoT
Machine, environmental and vehicle sensors over thin links.
Sensors sample all the time, and the links they report over charge by the byte or run on batteries. Compress runs on small devices and gateways, keeps raw signals within the bound you set, and sends more of them for less.
What it compresses.
The data sensors & iot teams bring to Compress most.
- Sensor time series
- Vibration and acoustic waveforms
- Seismic and fibre-optic sensing
- Vehicle cameras, LiDAR and CAN data
Use cases
Compress in sensors & iot.
Edge & IoT
Sensor data over thin links.
See howConnected vehicles
Camera and sensor data from the fleet, without the data bill.
See howCondition monitoring
High-rate vibration data from every machine.
See howEnvironmental monitoring
Air, water and noise networks across a whole region.
See howSeismic & geophysical sensors
Dense arrays, recorded continuously.
See howFeatures used
The parts of Compress that do the work.
Error bounds
Set the error per variable; we guarantee it.
Learn moreScientific formats
NetCDF, GRIB, Zarr, GeoTIFF and more.
Learn moreEdge & streaming
Compress at the sensor, before the link.
Learn moreSDK & CLI
One line in Python, a command in the shell.
Learn moreCloud, on-premises or air-gapped
Runs where your data already lives.
Learn moreIndustries
Other industries.
Related articles
We’ll cover
- Compress run on a sample of your data
- Size, speed and error compared with what you use now
- Fitting it into your pipeline
- Deployment: cloud, on-premises or edge