Displaying 1 to 20 from 133 results

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.

tikv - Distributed transactional key value database powered by Rust and Raft

  •    Rust

Geo-Replication TiKV uses Raft and Placement Driver to support Geo-Replication.Horizontal scalability With Placement Driver and carefully designed Raft groups, TiKV excels in horizontal scalability and can easily scale to 100+ TBs of data.

raft - UNMAINTAINED: A Go implementation of the Raft distributed consensus protocol.

  •    Go

NOTE: This project is unmaintained. If you are using goraft in a project and want to carry the project forward please file an issue with your ideas and intentions. The original project authors have created new raft implementations now used in etcd and InfluxDB.This is a Go implementation of the Raft distributed consensus protocol. Raft is a protocol by which a cluster of nodes can maintain a replicated state machine. The state machine is kept in sync through the use of a replicated log.

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 RELEASES.md.

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.

etcd - Distributed reliable key-value store for the most critical data of a distributed system

  •    Go

Note: The master branch may be in an unstable or even broken state during development. Please use releases instead of the master branch in order to get stable binaries. etcd is written in Go and uses the Raft consensus algorithm to manage a highly-available replicated log.

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.

raft-zh_cn - Raft一致性算法论文的中文翻译



tikv - Distributed transactional key-value database, originally created to complement TiDB

  •    Rust

TiKV is an open-source, distributed, and transactional key-value database. Unlike other traditional NoSQL systems, TiKV not only provides classical key-value APIs, but also transactional APIs with ACID compliance. Built in Rust and powered by Raft, TiKV was originally created to complement TiDB, a distributed HTAP database compatible with the MySQL protocol. The design of TiKV ('Ti' stands for titanium) is inspired by some great distributed systems from Google, such as BigTable, Spanner, and Percolator, and some of the latest achievements in academia in recent years, such as the Raft consensus algorithm.

Patroni - A template for PostgreSQL High Availability with ZooKeeper, etcd, or Consul

  •    Python

Patroni is a template for you to create your own customized, high-availability solution using Python and - for maximum accessibility - a distributed configuration store like ZooKeeper, etcd, Consul or Kubernetes. Database engineers, DBAs, DevOps engineers, and SREs who are looking to quickly deploy HA PostgreSQL in the datacenter-or anywhere else-will hopefully find it useful.

raft - Golang implementation of the Raft consensus protocol

  •    Go

raft is a Go library that manages a replicated log and can be used with an FSM to manage replicated state machines. It is a library for providing consensus.The use cases for such a library are far-reaching as replicated state machines are a key component of many distributed systems. They enable building Consistent, Partition Tolerant (CP) systems, with limited fault tolerance as well.

raft-rs - Raft distributed consensus algorithm implemented in Rust.

  •    Rust

When building a distributed system one principal goal is often to build in fault-tolerance. That is, if one particular node in a network goes down, or if there is a network partition, the entire cluster does not fall over. The cluster of nodes taking part in a distributed consensus protocol must come to agreement regarding values, and once that decision is reached, that choice is final. Distributed Consensus Algorithms often take the form of a replicated state machine and log. Each state machine accepts inputs from its log, and represents the value(s) to be replicated, for example, a hash table. They allow a collection of machines to work as a coherent group that can survive the failures of some of its members.

SummitDB - In-memory NoSQL database with ACID transactions, Raft consensus, and Redis API

  •    Go

SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting.Under the hood it utilizes Finn, Redcon, BuntDB, GJSON, and Otto.

awesome-consensus - Awesome list for Paxos and friends


A curated selection of artisanal consensus algorithms and hand-crafted distributed lock services.

hraftd - A reference use of Hashicorp's Raft implementation

  •    Go

For background on this project check out this blog post. hraftd is a reference example use of the Hashicorp Raft implementation v1.0. Raft is a distributed consensus protocol, meaning its purpose is to ensure that a set of nodes -- a cluster -- agree on the state of some arbitrary state machine, even when nodes are vulnerable to failure and network partitions. Distributed consensus is a fundamental concept when it comes to building fault-tolerant systems.

tidis - Distributed transactional NoSQL database, Redis protocol compatible using tikv as backend

  •    Go

Tidis is a Distributed NoSQL database, providing a Redis protocol API (string, list, hash, set, sorted set), written in Go. Tidis is like TiDB layer, providing protocol transform and data structure compute, powered by TiKV backend distributed storage which use Raft for data replication and 2PC for distributed transaction.

Nebula Graph - A distributed, scalable, lightning-fast graph database

  •    C++

Nebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency. It delivers enterprise-grade high performance to simplify the most complex data sets imaginable into meaningful and useful information.

rqlite - The lightweight, distributed relational database built on SQLite

  •    Go

rqlite is a lightweight, distributed relational database, which uses SQLite as its storage engine. Forming a cluster is very straightforward, it gracefully handles leader elections, and tolerates failures of machines, including the leader. 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.

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