Store
Keep less data on media
Smaller footprints to cut data read/write times for all workflows.
Make data smaller to make systems faster | ironArray SLU
Built by the team behind Blosc2 and Caterva2
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.
Store
Smaller footprints to cut data read/write times for all workflows.
Move
Retrieve slices and chunks instead of moving entire datasets.
Compute
Reduce memory pressure and make even larger workloads practical on existing hardware.
Managed remote data workflows with selective retrieval and server-side compute.
Explore Cat2CloudSelf-hosted selective access to compressed data inside private infrastructure.
See Caterva2Find better compression parameters automatically for your workload.
See BtuneArchitecture, deployment, and support from the team behind the core technology.
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If you need faster remote access, lower transfer cost, or better performance on large datasets, we can help redesign your workflow.