Displaying 1 to 20 from 103 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.

arangodb - 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values

  •    C++

ArangoDB is a multi-model, open-source database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. Use ACID transactions if you require them. Scale horizontally with a few mouse clicks. The supported data models can be mixed in queries and allow ArangoDB to be the aggregation point for your data.

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.

BuntDB - Embeddable, in-memory key/value database for Go with custom indexing and geospatial support

  •    Go

BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It's ideal for projects that need a dependable database and favor speed over data size.The desire to create BuntDB stems from the need for a new embeddable database for Tile38 and SummitDB.

Redcon - Redis compatible server framework for Go

  •    Go

Redcon is a custom Redis server framework for Go that is fast and simple to use. The reason for this library it to give an efficient server front-end for the BuntDB and Tile38 projects. Redcon has full TLS support.

Dynomite - Making Non-Distributed Databases, Distributed

  •    C

Dynomite, inspired by Dynamo whitepaper, is a thin, distributed dynamo layer for different storages and protocols. Dynomite is a sharding and replication layer. Dynomite can make existing non distributed datastores, such as Redis or Memcached, into a fully distributed & multi-datacenter replicating datastore.

Chronicle Map - High performance, off-heap, key-value, in memory, persisted data store

  •    Java

Chronicle Map is a high performance, off-heap, key-value, in memory, persisted data store. It works like a standard java map yet it automatically distributes data between processes, these processes can be both on the same server or across your network. In other words its a low latency, huge data key value store, which can store terabytes of data locally to your process.

ForestDB - A Fast Key-Value Storage Engine Based on Hierarchical B+-Tree Trie

  •    C++

ForestDB is a key-value storage engine developed by Couchbase Caching and Storage Team, and its main index structure is built from Hierarchical B+-Tree based Trie, called HB+-Trie. ForestDB paper has been published in IEEE Transactions on Computers.