Compress · Software & SaaS
Backups, data lakes, user uploads and AI training data.
Software companies pay for storage and egress on every byte their product touches: database backups, analytics tables, the files customers upload and the data their models learn from. Compress cuts those bills inside your own cloud account, through an SDK that fits the pipelines you already run.
What it compresses.
The data software & saas teams bring to Compress most.
- Database backups and snapshots
- Parquet and Iceberg tables
- Customer uploads and recordings
- Training datasets and model checkpoints
Use cases
Compress in software & saas.
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 howFeatures used
The parts of Compress that do the work.
Neural codecs
Codecs trained on your kind of data.
Learn moreError bounds
Set the error per variable; we guarantee it.
Learn moreScientific formats
NetCDF, GRIB, Zarr, GeoTIFF and more.
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.
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