Displaying 1 to 20 from 59 results

etcd - 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.

OrientDB - 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.

Memcached - 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.

Ehcache


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.




nconf - Hierarchical node


Hierarchical node.js configuration with files, environment variables, command-line arguments, and atomic object merging.The top-level of nconf is an instance of the nconf.Provider abstracts this all for you into a simple API.

BadgerDB - Fast key-value store in 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.

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.

Berkeley 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.


Infinispan - 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.

Redis - Advanced key-value store


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.


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.


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 - 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.

Apache 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.

Sophia - 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.

bigcache - 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.

BuntDB - 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.