SeaweedFS - Simple and highly scalable distributed file system

  •        136

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".

Instead of managing all file metadata in a central master, the central master only manages file volumes, and it lets these volume servers manage files and their metadata. This relieves concurrency pressure from the central master and spreads file metadata into volume servers, allowing faster file access (just one disk read operation).

SeaweedFS started by implementing Facebook's Haystack design paper. SeaweedFS is currently growing, with more features on the way.!forum/seaweedfs



Related Projects

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.

Gluster Filesystem - Scalable Network Filesystem

  •    C

Gluster is a software defined distributed storage that can scale to several petabytes. It provides interfaces for object, block and file storage. It is a distributed scale-out filesystem that allows rapid provisioning of additional storage based on your storage consumption needs. It incorporates automatic failover as a primary feature.

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.

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.

Jepsen - A framework for distributed systems verification, with fault injection

  •    Clojure

Jepsen is a Clojure library. A test is a Clojure program which uses the Jepsen library to set up a distributed system, run a bunch of operations against that system, and verify that the history of those operations makes sense. Jepsen has been used to verify everything from eventually-consistent commutative databases to linearizable coordination systems to distributed task schedulers. It can also generate graphs of performance and availability, helping you characterize how a system responds to different faults.

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

kbfs - Keybase Filesystem (KBFS)

  •    Go

This repository contains the official Keybase implementation of the client-side code for the Keybase filesystem (KBFS). See the KBFS documentation for an introduction and overview. All code is written in the Go Language, and relies on the Keybase service.

glow - Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc

  •    Go

Glow is providing a library to easily compute in parallel threads or distributed to clusters of machines. This is written in pure Go.I am also working on a Go+Luajit system, , which is more flexible and more performant.

irmin - Irmin is a distributed database that follows the same design principles as Git

  •    OCaml

Irmin is an OCaml library for building mergeable, branchable distributed data stores. Below is a simple example of setting a key and getting the value out of a Git based, filesystem-backed store.

HBase - Hadoop database

  •    Java

HBase provides support to handle BigTable - billions of rows X millions of columns. It is a scalable, distributed, versioned, column-oriented store modeled after Google's Bigtable and runs on top of HDFS (Hadoop Distributed Filesystem). It features compression, in-memory operation per-column. Data could be replicated between the nodes. HBase is used in Facebook and Twitter.

tla-rust - writing correct lock-free and distributed stateful systems in Rust, assisted by TLA+

  •    TLA

Stable stateful systems through modeling, linear types and simulation. I like to use things that wake me up at 4am as rarely as possible. Unfortunately, infrastructure vendors don't focus on reliability. Even if a company gives reliability lip service, it's unlikely that they use techniques like modeling or simulation to create a rock-solid core. Let's just build an open-source distributed store that takes correctness seriously at the local storage, sharding, and distributed transactional layers.

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.

Atomix - Scalable, fault-tolerant distributed systems protocols and primitives for the JVM

  •    Java

Atomix is an event-driven framework for coordinating fault-tolerant distributed systems built on the Raft consensus algorithm. It provides the building blocks that solve many common distributed systems problems including group membership, leader election, distributed concurrency control, partitioning, and replication.

rqlite - The lightweight, distributed relational database built on SQLite.

  •    Go

rqlite is a distributed relational database, which uses SQLite as its storage engine. rqlite uses Raft to achieve consensus across all the instances of the SQLite databases, ensuring that every change made to the system is made to a quorum of SQLite databases, or none at all. It also gracefully handles leader elections, and tolerates failures of machines, including the leader. rqlite is available for Linux, OSX, and Microsoft Windows.rqlite gives you the functionality of a rock solid, fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation. With it you've got a lightweight and reliable distributed relational data store. Think etcd or Consul, but with relational data modelling also available.

logcabin - LogCabin is a distributed storage system built on Raft that provides a small amount of highly replicated, consistent storage

  •    C++

LogCabin is a distributed system that provides a small amount of highly replicated, consistent storage. It is a reliable place for other distributed systems to store their core metadata and is helpful in solving cluster management issues. LogCabin uses the Raft consensus algorithm internally and is actually the very first implementation of Raft. It's released under the ISC license (equivalent to BSD).Information about releases is in

diskover - File system crawler, disk space usage, file search engine and file system analytics powered by Elasticsearch

  •    Python

diskover is an open source file system crawler and disk space usage software that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organize files and system administrators are able to manage storage infrastructure, efficiently provision storage, monitor and report on storage use, and effectively make decisions about new infrastructure purchases. As the amount of file data generated by business' continues to expand, the stress on expensive storage infrastructure, users and system administrators, and IT budgets continues to grow.

GeoMesa - Suite of tools for working with big geo-spatial data in a distributed fashion

  •    Scala

GeoMesa is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. Leveraging a highly parallelized indexing strategy, GeoMesa aims to provide as much of the spatial querying and data manipulation to Accumulo as PostGIS does to Postgres.

paracel - Distributed training framework with parameter server

  •    C++

Paracel is a distributed computational framework, designed for many machine learning problems: Logistic Regression, SVD, Matrix Factorization(BFGS, sgd, als, cg), LDA, Lasso... Firstly, paracel splits both massive dataset and massive parameter space. Unlike Mapreduce-Like Systems, paracel offers a simple communication model, allowing you to work with a global and distributed key-value storage, which is called parameter server.

We have large collection of open source products. Follow the tags from Tag Cloud >>

Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.