SeaweedFS - Simple and highly scalable distributed file system

•    Go

SeaweedFS is a simple and highly scalable distributed file system. There are two objectives: to store billions of files! to serve the files fast! Instead of supporting full POSIX file system semantics, SeaweedFS choose to implement only a key~file mapping. Similar to the word "NoSQL", you can call it as "NoFS".

huststore - High-performance Distributed Storage

•    C

huststore is a open source high performance distributed database system. It not only provides key-value storage service with extremely high performance, up to 100 thousand QPS, but also supports data structures like hash, set, sorted set, etc. Also, it can store binary data as value from a key-value pair, and thus can be used as an alternative of Redis.In addtion, huststore implements a distributed message queue by integrating a special HA module, features including message Push Stream, and message Publish-SubScribe, these features can be used as replacements of the corresponding features in rabbitmq and gearman.

braft - An industrial-grade C++ implementation of RAFT consensus algorithm based on brpc, widely used inside Baidu to build highly-available distributed systems

•    C++

An industrial-grade C++ implementation of RAFT consensus algorithm and replicated state machine based on brpc. braft is designed and implemented for scenarios demanding for high workload and low overhead of latency, with the consideration for easy-to-understand concepts so that engineers inside Baidu can build their own distributed systems individually and correctly. Build brpc which is the main dependency of braft.

dragonboat - A feature complete and high performance multi-group Raft library in Go.

•    Go

Dragonboat is a high performance multi-group Raft consensus library in Go with C++11 binding support. Consensus algorithms such as Raft provides fault-tolerance by alllowing a system continue to operate as long as the majority member servers are available. For example, a Raft cluster of 5 servers can make progress even if 2 servers fail. It also appears to clients as a single node with strong data consistency always provided. All running servers can be used to initiate read requests for aggregated read throughput.

Sheepdog - Distributed Storage System for QEMU

•    C

Sheepdog is a distributed object storage system for volume and container services and manages the disks and nodes intelligently. Sheepdog features ease of use, simplicity of code and can scale out to thousands of nodes. The block level volume abstraction can be attached to QEMU virtual machines and Linux SCSI Target and supports advanced volume management features such as snapshot, cloning, and thin provisioning.

Ceph - Distributed Object Store

•    C++

Ceph provides seamless access to objects using native language bindings or radosgw, a REST interface that’s compatible with applications written for S3 and Swift. Ceph’s RADOS Block Device (RBD) provides access to block device images that are striped and replicated across the entire storage cluster. Ceph provides a POSIX-compliant network file system that aims for high performance, large data storage, and maximum compatibility with legacy applications.

Xtreemfs - Fault-tolerant distributed file system

•    C

XtreemFS is a distributed, replicated and fault-tolerant file system for federated IT infrastructures. XtreemFS replicates your file data across multiple storage servers, which can be distributed worldwide. It scales according to your needs within minutes, simply by adding new standard hardware. Starting with a single server, growing to a cluster and across datacenters.

OrangeFS - Scale-out Network File System

•    C

OrangeFS is a scale-out network file system designed for use on high-end computing (HEC) systems that provides very high-performance access to multi-server-based disk storage, in parallel. The OrangeFS server and client are user-level code, making them very easy to install and manage. OrangeFS has optimized MPI-IO support for parallel and distributed applications, and it is leveraged in production installations and used as a research platform for distributed and parallel storage.

storj - Ongoing Storj v3 development

•    Go

All of our code for Storj v3 is open source. Have a code change you think would make Storj better? Please send a pull request along! Make sure to sign our Contributor License Agreement (CLA) first. See our license section for more details. Have comments, bug reports, or suggestions? Want to propose a PR before hand-crafting it? Jump on to our Rocketchat and join the #dev channel to say hi to the developer community and to talk to the Storj core team.

LizardFS - Software Defined Storage, Distributed, Parallel, Scalable, Fault-tolerant, Geo-Redundant and Highly available file system

•    C++

LizardFS Software Defined Storage is a distributed, parallel, scalable, fault-tolerant, Geo-Redundant and highly available file system. It spreads data over a number of physical servers, making it visible to an end user as a single file system.

BeeGFS - Parallel Cluster File System

•    C

BeeGFS (formerly FhGFS) is the leading parallel cluster file system, developed with a strong focus on performance and designed for very easy installation and management. It transparently spreads user data across multiple servers. By increasing the number of servers and disks in the system, you can simply scale performance and capacity of the file system to the level that you need, seamlessly from small clusters up to enterprise-class systems with thousands of nodes.

Pravega - Streaming as a new software defined storage primitive

•    Java

Pravega is an open source distributed storage service implementing Streams. It offers Stream as the main primitive for the foundation of reliable storage systems: a high-performance, durable, elastic, and unlimited append-only byte stream with strict ordering and consistency.

storoom - a simple distributed storage

•    DotNet

storoom is a simple distributed storage system, it uses key-value pair to store data. contains client/clientlib stornode, node to store data to physical storage system storoom, controller of stornode<s> or storoom<s> develop in vb.net

distkv - Distributed KV Storage System based on Raft and RocksDB, can also be use to store small files, like images

•    Java

Distributed KV Storage System based on Raft and RocksDB, can also be use to store small files, like images.

raft-java - Raft implementation for Java

•    Java

Raft implementation for Java

awesome-distributed-systems - Awesome list of distributed systems resources

Awesome list of distributed systems resources

gobeansdb - Distributed object storage server from Douban Inc.

•    Go

Yet anonther distributed key-value storage system from Douban Inc. Any memcached client cache interactive with GobeansDB without any modification.

vasto - A distributed key-value store. On Disk. Able to grow or shrink without service interruption.

•    Go

A distributed high-performance key-value store. On Disk. Eventual consistent. HA. Able to grow or shrink without service interruption. Vasto enables developers to setup a distributed key-value store as simple as creating a map object.

Orleans.Extensibility.IdentityServer - Makes Orleans the backend storage for IdentityServer4

•    CSharp

Makes Orleans the backend storage for IdentityServer4

Temporal - ☄️ Temporal is an easy-to-use interface into distributed and decentralized storage technologies for personal and enterprise use cases

•    Go

Temporal is an enterprise-grade storage solution featuring an easy to consume API that can be easily integrated into your existing application stack, providing all the benefits of the distributed web, without any of the overhead that comes with running distributed storage nodes. Initially targetting the public+private IPFS network, the next release cycle will bring support for additional protocols such as Ethereum SWARM, STORJ, SIA. Temporal won't stop there and will continue to evolve as the space itself evolves. At RTrade we understand that the Blockchain and Distributed technology space evolve at an extremely quick pace so we are designing Temporal with modularity in mind so that as the space evolves we can evolve seamlessly with it. Temporal's API comes in two flavours, hosted or on-site. Should you not have the resources to run your own distributed storage nodes and infrastructure, you can take advantage of our hosted API allowing us to manage all the storage nodes and infrastructure, so all that you have to worry about is your application and using our API; We deal with all the hardware and infrastructure failures so that you can spend your hard work focusing on releasing products, not troubleshooting infrastructure failures which drain critical development resources. If however you have the infrastructure, and technical resources you can take advantage of Temporal being open source and deploy your own Temporal infrastructure. For on-site deployments we offer special paid for installations, maintenance, upgrades, and product usage information sessions allowing you to take full advantage of the power that comes with running your own Temporal infrastructure.