LizardFS Alternatives
LizardFS
LizardFS is a distributed, scalable, fault-tolerant and highly available file system. It allows users to combine disk space located on many servers into a single name space which is visible on Unix-like and Windows systems in the same way as other file systems. LizardFS makes files secure by keeping all the data in many replicas spread over available servers. It can be used also to build an affordable storage, because it runs without any problems on commodity hardware.
Disk and server failures are handled transparently without any downtime or loss of data. If storage requirements grow, it’s possible to scale an existing LizardFS installation just by adding new servers - at any time, without any downtime. The system will automatically move some data to newly added servers, because it continuously takes care of balancing disk usage across all connected nodes. Removing servers is as easy as adding a new one.
Best Open Source LizardFS Alternatives
Looking for the best programs similar to LizardFS? Check out our top picks. Let's see if there are any LizardFS alternatives that support your platform.
Ceph
FreeOpen SourceLinuxCeph is a distributed object store and file system designed to provide excellent performance, reliability and scalability.
Features:
- Distributed
- Fault tolerant
XtreemFS
FreeOpen SourceMacWindowsLinuxXtreemFS is an object-based, distributed file system for wide area networks. The file system replicates objects for fault tolerance and caches metadata and data to...
GlusterFS
FreeOpen SourceLinuxGlusterFS is a scale-out network-attached storage file system. It has found applications including cloud computing, streaming media services, and content delivery...
MooseFS
FreeOpen SourceLinuxSelf-HostedMooseFS is a fault tolerant, network distributed file system. It spreads data over several physical servers which are visible to the user as one resource.
Features:
- Automatic replication
- Data Redundancy
- Distributed
- High Availability
- POSIX-compliance
- Quotas support
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