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.
 
Atomix provides a collection of dead simple, asynchronous APIs for sharing mission critical state and solving a variety of common distributed systems problems. It features reliable data consistency guarantees that are maintained even when machine or network failures occur. It clusters are resilient to failure, automatically replacing failed replicas as needed without any data loss. Atomix scales along with the rest of your system, providing high read throughput while maintaining strong write consistency.

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.


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

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.

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

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 - Golang implementation of the Raft consensus protocol

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. 
 
Nebula Graph is Symmetrically distributed, Separates Storage and computation, Horizontal scalability, Strong data consistency by RAFT protocol, Role-based access control for higher level security and lot more.

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. 

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

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.

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

Typesense is an open source, typo tolerant search engine that is optimized for instant sub-50ms searches, while providing an intuitive developer experience. 
 
Features: 
<ul>
<li>Typo Tolerance: Handles typographical errors elegantly, out-of-the-box.</li>
<li>Simple and Delightful: Simple to set-up, integrate with, operate and scale.</li>
<li>Blazing Fast: Built in C++. Meticulously architected from the ground-up for low-latency (&lt;50ms) instant searches.</li>
<li>Tunable Ranking: Easy to tailor your search results to perfection.</li>
<li>Sorting: Sort results based on a particular field at query time (helpful for features like "Sort by Price (asc)").</li>
<li>Faceting &amp; Filtering: Drill down and refine results.</li>
<li>Grouping &amp; Distinct: Group similar results together to show more variety.</li>
<li>Federated Search: Search across multiple collections (indices) in a single HTTP request.</li>
<li>Scoped API Keys: Generate API keys that only allow access to certain records, for multi-tenant applications.</li>
<li>Synonyms: Define words as equivalents of each other, so searching for a word will also return results for the synonyms defined.</li>
<li>Curation &amp; Merchandizing: Boost particular records to a fixed position in the search results, to feature them.</li>
<li>Raft-based Clustering: Setup a distributed cluster that is highly available.</li>
<li>Seamless Version Upgrades: As new versions of Typesense come out, upgrading is as simple as swapping out the binary and restarting Typesense.</li>
</ul>

Typesense is an open source, typo tolerant search engine that is optimized for instant sub-50ms searches, while providing an intuitive developer experience. 

Typesense - Fast, typo tolerant search engine for building delightful search experiences

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.
 
if you're interested in understanding how distributed systems actually work, rqlite is a good example to study. Much thought has gone into its design and implementation, with clear separation between the various components, including storage, distributed consensus, and API. 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.

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.


rqlite - The lightweight, distributed relational database built on SQLite

Fully asynchronous C implementation of the Raft consensus protocol. The library has modular design: its core part implements only the core Raft algorithm logic, in a fully platform independent way. On top of that, a pluggable interface defines the I/O implementation for networking (send/receive RPC messages) and disk persistence (store log entries and snapshots). 

Raft - C implementation of the Raft consensus protocol 

Copycat is a fault-tolerant state machine replication framework. Built on the Raft consensus algorithm, it handles replication and persistence and enforces strict ordering of inputs and outputs, allowing developers to focus on single-threaded application logic. Its event-driven model allows for efficient client communication with replicated state machines, from simple key-value stores to wait-free locks and leader elections. You supply the state machine and Copycat takes care of the rest, making it easy to build robust, safe distributed systems.


Copycat - A novel implementation of the Raft consensus algorithm

Finn is a fast and simple framework for building Raft implementations in Go. It uses Redcon for the network transport and Hashicorp Raft. There is also the option to use LevelDB, BoltDB or FastLog for log persistence.The reason for this project is to add Raft support to a future release of BuntDB and Tile38.

Finn - Fast Raft framework using the Redis protocol for Go

C implementation of the Raft consensus protocol, BSD licensed. Networking is out of scope for this project. The implementor will need to do all the plumbing. The library doesn't assume a network layer with ordering or duplicate detection. This means you could use UDP for transmission.

raft - C implementation of the Raft Consensus protocol, BSD licensed

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