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Project-voldemort - A distributed database, Clone of Amazon's Dynamo
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.
key-value key-value-store dynamo scalable distributed linkedinBerkeley DB - Embeddable Databases to Meet Your Needs
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.
database embedded-database key-value-store key-valueInfinispan - Key value NOSQL data store and data grid
Infinispan is an extremely scalable, highly available key/value NoSQL datastore and distributed data grid platform. The purpose of Infinispan is to expose a data structure that is highly concurrent, designed ground-up to make the most of modern multi-processor/multi-core architectures while at the same time providing distributed cache capabilities. Infinispan offers enterprise features such as efficient eviction algorithms to control memory usage as well as JTA compatibility.
distributed-caching cache key-value-store data-grid gridOrientDB - The NoSQL Graph-Document DBMS
OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines.
database graph-database nosql document-store key-value-store embedded-db document-orientedMemcached - distributed object caching system
Memcached is high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
distributed-caching cache object-cache key-value-storeEhcache
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.
distributed-caching cache key-value-store key-valuebadger - Fast key-value store in Go.
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. Badger 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.
key-value database key-value-storeetcd - Distributed reliable key-value store for the most critical data of a distributed system
etcd is a distributed, consistent key-value store for shared configuration and service discovery. It is simple, secure, fast and reliable. it uses the Raft consensus algorithm to manage a highly-available replicated log.
service-discovery configuration-management service-coordination monitoring key-value-storeArangoDB - The Multi-purpose NoSQL DB
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.
database nosql no-sql key-value key-value-store graph-database document-databaseApache Ignite - High performance in-memory data grid
Apache Ignite In-Memory Data Fabric is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.
cache distributed-caching in-memory database-cache jcache key-value-store session-cacheSophia - Advanced transactional MVCC key-value/row storage library
Sophia is RAM-Disk hybrid storage. It is designed to provide best possible on-disk performance without degradation in time. It has guaranteed O(1) worst case complexity for read, write and range scan operations. It provides Full ACID compliancy, MVCC engine, Optimistic, non-blocking concurrency with N-writers and M-readers, Prefix search, Automatic key-expire, Implemented as small C-written library with zero dependencies and lot more.
cache key-value key-value-store database off-heapStash - A PHP Caching Library
Stash makes it easy to speed up your code by caching the results of expensive functions or code. Certain actions, like database queries or calls to external APIs, take a lot of time to run but tend to have the same results over short periods of time. This makes it much more efficient to store the results and call them back up later.
cache key-value-store session-storage memcached redis libraryApache Commons JCS - Java Caching System
JCS is a distributed caching system written in java. It is intended to speed up applications by providing a means to manage cached data of various dynamic natures. Its feature include Memory management, Element grouping, Data expiration, UDP Discovery of other caches, Key pattern matching retrieval, Remote server chaining (or clustering) and failover, Remote synchronization, Region data separation and configuration and lot more.
cache distributed-caching key-value-storeApache Accumulo - Key Value Store based on Google BigTable
The Apache Accumulo sorted, distributed key/value store is a robust, scalable, high performance data storage and retrieval system. Apache Accumulo is based on Google's BigTable design and is built on top of Apache Hadoop, Zookeeper, and Thrift. Apache Accumulo features a few novel improvements on the BigTable design in the form of cell-based access control and a server-side programming mechanism that can modify key/value pairs at various points in the data management process.
key-value key-value-store big-table distributed database aggregationHyperdex - A Searchable Distributed Key-Value Store
HyperDex is a distributed, searchable key-value store. HyperDex provides a unique search primitive which enables searches over stored values. By design, HyperDex retains the performance of traditional key-value stores while enabling support for the search operation. It is fast, scalable, Consistent, Fault tolerant.
distributed-caching cache object-cache key-value-storeKumofs
kumofs is a scalable and highly available distributed key-value store.
distributed scalable key-value-storenode-convict - Unruly configuration management for nodejs
Unruly configuration management for Node.js
configuration config key-value-store schema nested validationbigcache - Efficient cache for gigabytes of data written in 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.
cache performance caching golang-library key-value key-value-store databaseBuntDB - Embeddable, in-memory key/value database for Go with custom indexing and geospatial support
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.
database in-memory key-value geospatial key-value-storeRedcon - Redis compatible server framework for 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.
redis-protocol database key-value key-value-store nosql redis-alternative