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Designed to handle large data sets in a distributed computing environment, fault-tolerance through data replication, well suited for big data analytics.

A type of parallel distributed file system, typically used for large-scale cluster computing, provides high-performance file access over wide area networks.

Fault-tolerant, high-performance storage platform, scales to exabytes, supports block, object, and file storage.

Combines file system and logical volume manager, features include snapshots, copy-on-write clones, and continuous integrity checking against data corruption.

Optimized for Google's proprietary use, handles large data-sets, provides fault tolerance while running on inexpensive commodity hardware.

Distributed and replicated file system for the Internet, allows replication across data centers, supports automatic failover.

Scale-out NAS file system, uses a stackable design, and is good for cloud computing, media streaming, and data analysis workloads.

High-performance shared-disk file management, used in large-scale cluster computing, supports data replication and parallel access.

User-friendly high-performance parallel file system, designed to be easily installed and managed, supports a wide range of workloads.

Simple file system originally designed for small disks and simple folder structures, widely used in various storage devices like SD cards and USB flash drives.

Designed for client-server architecture, supports file sharing across a network, widely used due to its simplicity.