Compress · Use cases
Wherever data outgrows its storage or its link.
46 ways teams use Compress across 13 industries: archives that cost too much to keep, and streams too big for the link they travel over.
By industry
Compress at work.
Pick your industry, or read on for every use case.
Telecoms
Network telemetry, records and radio data at operator scale.
TV & broadcast
Archives, contribution feeds and compliance recordings.
Video
Surveillance, streaming libraries and production footage.
Radio & RF
Station archives, spectrum recordings and radio astronomy.
Log files
Application, security and audit logs, kept for longer.
Software & SaaS
Backups, data lakes, user uploads and AI training data.
Database backups & snapshots
Keep more restore points for the same bill.
See howData lakes & analytics
Event and analytics tables, a fraction of the size.
See howUser uploads & media
Every file your customers upload, stored for less.
See howAI training data & checkpoints
Datasets and checkpoints that fit the budget.
See howDrones & UAV
Survey imagery, inspection data and live video from the air.
Defence & military
ISR video, signals and sensor feeds over contested links.
Tactical edge networks
Sensor and imagery feeds over contested links.
See howISR full-motion video
More eyes on target through the same pipe.
See howSIGINT & electronic warfare
Keep the raw signal for the analyst who needs it later.
See howSonar & maritime sensors
Acoustic and radar data from ships, submarines and buoys.
See howGovernment
Records, evidence, geospatial data and emergency video.
Public records & archives
Digitised records, kept forever for less.
See howBody-worn & evidence video
Years of evidence from every officer’s camera.
See howGeospatial & mapping agencies
National imagery and elevation data, smaller.
See howEmergency services
Live video from the incident, over a congested network.
See howWeather & climate
Forecasts, radar, observations and climate archives.
Climate & weather archives
Petabytes of model output in a fraction of the space.
See howForecast distribution
Get each model run to users before the next one lands.
See howWeather radar
Every sweep from every radar, kept.
See howWeather stations & observations
More readings from remote stations, for less airtime.
See howAgriculture
Crop imagery, farm sensors, livestock and machinery data.
Sensors & IoT
Machine, environmental and vehicle sensors over thin links.
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 howScience & space
Earth observation and simulation at research scale.
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