Displaying 1 to 20 from 157 results

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.

Ehcache

  •    Java

Ehcache is an open source, standards-based cache used to boost performance, offload the database and simplify scalability. Ehcache is robust, proven and full-featured and this has made it the most widely-used Java-based cache.

BadgerDB - Fast key-value store in Go.

  •    Go

BadgerDB is an embeddable, persistent, simple and fast key-value (KV) store, written purely in Go. It's meant to be a performant alternative to non Go based key-value stores like RocksDB. It is written out of frustration with existing KV stores which are either written in pure Go and slow, or fast but require usage of Cgo. Badger aims to provide an equal or better speed compared to industry leading KV stores (like RocksDB), while maintaining the entire code base in pure Go.

EGOCache - Fast Caching for Objective-C (iPhone & Mac Compatible)

  •    Objective-C

EGOCache is a simple, thread-safe key value cache store for macOS, iOS, tvOS and watchOS. It has native support for NSString, UIImage, NSImage, and NSData, but can store anything that implements <NSCoding>. All cached items expire after the timeout, which by default, is one day.




Project-voldemort - A distributed database, Clone of Amazon's Dynamo

  •    Java

Voldemort is a distributed key-value storage system. Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data. Server failure is handled transparently. It is used at LinkedIn for certain high-scalability storage problems where simple functional partitioning is not sufficient.

Berkeley DB - Embeddable Databases to Meet Your Needs

  •    C

Oracle Berkeley DB provides the best open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model. At its core is a fast, scalable, transactional database engine with proven reliability and availability. Berkeley DB comes three versions: Berkeley DB, Berkeley DB Java Edition, and Berkeley DB XML.

ardb - A redis protocol compatible nosql, it support multiple storage engines as backend like Google's LevelDB, Facebook's RocksDB, OpenLDAP's LMDB, PerconaFT, WiredTiger, ForestDB

  •    C++

Ardb is a BSD licensed, redis-protocol compatible persistent nosql, it support multiple storage engines as backend like Google's LevelDB, Facebook's RocksDB, OpenLDAP's LMDB, WiredTiger, PerconaFT,Couchbase's ForestDB the default backend is Facebook's RocksDB. Rocksdb is the default storage engine, to compile with rocksdb, just type make to compile server & lib & tests.

nessDB - A very fast transactional key-value, embedded database storage engine.

  •    C

A very fast transactional key-value, embedded database storage engine.


Redis - Advanced key-value store

  •    C

Redis is an advanced key-value store. It is similar to memcached but the dataset is not volatile, and values can be strings, exactly like in memcached, but also lists, sets, and ordered sets. All this data types can be manipulated with atomic operations to push/pop elements, add/remove elements, perform server side union, intersection, difference between sets, and so forth. Redis supports different kind of sorting abilities.

YapDatabase - YapDatabase is an extensible database for iOS & Mac.

  •    Objective-C

Concurrency. You can read from the database while another thread is simultaneously making modifications to the database. So you never have to worry about blocking the main thread, and you can easily write to the database on a background thread. And, of course, you can read from the database on multiple threads simultaneously. Built-In Caching. A configurable object cache is built-in. Of course sqlite has caching too. But it's caching raw serialized bytes, and we're dealing with objects. So having a built-in cache means you can skip the deserialization process, and get your objects much faster.

Leveldb - A fast and lightweight key/value database library by Google.

  •    C++

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. It supports basic operations like Put(key,value), Get(key), Delete(key). Only a single process (possibly multi-threaded) can access a particular database at a time.

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.

Pika - nosql compatible with redis, it is developed by Qihoo's DBA and infrastructure team

  •    C++

Pika is a persistent huge storage service , compatible with the vast majority of redis interfaces (details), including string, hash, list, zset, set and management interfaces. With the huge amount of data stored, redis may suffer for a capacity bottleneck, and pika was born for solving it. Except huge storage capacity, pika also support master-slave mode by slaveof command, including full and partial synchronization.

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.

FoundationDB - Distributed, Transactional Key-value store

  •    C++

FoundationDB is a distributed database designed to handle large volumes of structured data across clusters of commodity servers. It organizes data as an ordered key-value store and employs ACID transactions for all operations. It is especially well-suited for read/write workloads but also has excellent performance for write-intensive workloads. Users interact with the database using API language binding.

Keydb - A Multithreaded Fork of Redis

  •    C++

KeyDB is a high performance fork of Redis with a focus on multithreading, memory efficiency, and high throughput. In addition to multithreading, KeyDB also has features only available in Redis Enterprise such as Active Replication, FLASH storage support, and some not available at all such as direct backup to AWS S3.

rosedb - 🚀A fast, stable and embedded k-v database in pure Golang, supports string, list, hash, set, sorted set

  •    Go

rosedb is a fast, stable and embedded key-value (k-v) database based on bitcask. Its on-disk files are organized as LSM trees, optimizing for write throughput. rosedb supports a variety of of data structures such as string, list, hash, set and sorted set. rosedb is written in pure Go. It is production-ready.

ArangoDB - The Multi-purpose NoSQL DB

  •    C++

ArangoDB is a multi-purpose open-source database with flexible data model for documents, graphs, and key-values. Build high performance application using a convenient sql-like query language or JavaScript/Ruby extensions. Its key features are Schema-free, Convenient querying using AQL, Extendable through JS, Space efficiency, Supports modern storage hardware, like SSD and large caches and lot more.

bigcache - Efficient cache for gigabytes of data written in Go.

  •    Go

Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that operations on bytes arrays take place, therefore entries (de)serialization in front of the cache will be needed in most use cases.






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