Google Cloud Managed Lustre vs MooseFS

Google Cloud Managed Lustre is a fully managed parallel file system for artificial intelligence and high-performance computing workloads. Documented uses include HPC simulations, modeling and analysis, and machine-learning training and inference. It supports throughput up to 10 TBps and storage capacity up to 84,016,000 GiB (80.1 PiB). POSIX compliance is intended to preserve compatibility with existing applications, tools, and workflows. Instances can mount to Compute Engine virtual machines and Google Kubernetes Engine clusters. The service imports data from and exports data to Cloud Storage, including incremental transfers of new or changed files; only one transfer operation per instance can run at a time. Data is encrypted at rest and in transit to and within Google Cloud. Per-instance policies define maintenance windows and exclusion periods. Capacity is provisioned, and unused provisioned capacity is billed. Pricing is from $0.06/mo; hourly rates vary by month, and monthly charges use the hourly rate and hours in that month. Files can be up to 0.5 PiB, with 20 instances maximum per project. Lustre over TCP is supported, and managed backups are not available.

MooseFS is distributed storage software that combines data held across multiple servers into one resource. It can be mounted as a POSIX filesystem, used as a block device, or accessed through the C API. Reads and writes run across multiple chunkservers, so adding servers can increase both storage capacity and bandwidth. MooseFS replicates data chunks and restores missing copies after disk or node loss. The Community edition is open source under GPLv2, with one active master and single-parity erasure coding. Personal provides the full Pro feature set for non-commercial use, free up to 20 TiB of used raw space; beyond that, the listed price is €9 as a one-time purchase for each TiB. Pro adds synchronized master failover and support for clusters spanning locations. MooseFS 5 adds cluster-wide authentication. Official packages are offered for Linux distributions, FreeBSD, Raspberry Pi OS, and macOS; macOS requires macFUSE and macOS 12 or later. The native Windows client is included with Pro.