Store
Keep less data on media
Smaller footprints to cut data read/write times for all workflows.
Built by the team behind Blosc2 and Caterva2
Make data smaller to make systems faster
ironArray uses compression to reduce I/O delays, speed up transfer, lower memory pressure, and make larger workloads practical across cloud, on-prem, and local systems.
Compression as a performance layer
More efficient data storage means less work for every system
Fewer bytes to store, move, and load into memory, disk and network.
Move
Transfer only what matters
Retrieve slices and chunks instead of moving entire datasets.
Compute
Use memory more efficiently
Reduce memory pressure and make even larger workloads practical on existing hardware.
Start here
Choose the right path for your workflow
Managed platform, self-hosted stack, or bespoke solutions from the ironArray team.
Cat2Cloud
Managed remote data workflows with selective retrieval and server-side compute.
Explore Cat2Cloud
Caterva2
Self-hosted selective access to compressed data inside private infrastructure.
See Caterva2
Services
Architecture, deployment, and support from the team behind the core technology.
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Ready to make your systems faster?
If you need faster remote access, lower transfer cost, or better performance on large datasets, we can help redesign your workflow.