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.
http://openhft.net/products/chronicle-map/Tags | distributed-caching cache key-value-store key-value |
Implementation | Java |
License | Apache |
Platform | OS-Independent |
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-storeInfinispan 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 gridMemcached 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 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-valueCacheonix is an Open Source Java cache that allows developers to scale applications horizontally by providing a highly concurrent local cache and a strictly consistent distributed cache. It supports Distributed cache, Web application cache, Distributed lock, Second level (L2) cache.
cache key-value key-value-store distributed-cachingCaffeine is a high performance, near optimal caching library based on Java 8. It provides an in-memory cache using a Google Guava inspired API.
cache java-cache key-value-store key-value hash-map jcache jsr-107Dynomite, 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.
distributed-caching cache key-value-store key-value frameworkMembase is an distributed, key-value database management system optimized for storing data behind interactive web applications. These applications must service many concurrent users, creating, storing, retrieving, aggregating, manipulating and presenting data in real-time. Supporting these requirements, membase processes data operations with quasi-deterministic low latency and high sustained throughput.
distributed-caching cache object-cache key-value-database databasecache2k focuses on providing a well engineered in-memory object cache implementation for Java applications.
cache java-cache jcache key-value-store hash-mapJCS 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-storeForestDB 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.
key-value-store key-value cache b-tree trie databaseThe 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 aggregationConcurrency. 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.
database key-value-store key-valueTomP2P is a P2P library and a distributed hash table (DHT) implementation which provides a decentralized key-value infrastructure for distributed applications. Each peer has a table that can be configured either to be disk-based or memory-based to store its values. TomP2P stores key-value pairs in a distributed manner. To find the peers to store the data in the distributed hash table, TomP2P uses an iterative routing to find the closest peers. Since TomP2P uses non-blocking communication, a future object is required to keep track of future results. This key concept is used for all the communication (iterative routing and DHT operations, such as storing a value on multiple peers) in TomP2P and it is also exposed in the API. Thus, an operation such as get or put will return immediately and the user can either block the operation to wait for the completion or add a listener that gets notified when the operation completes.
A zero configuration, non-distributed NoSQL key-value store that runs in any Servlet 3.0 compatible container. With Havalo, simply drop havalo.war into your favorite Servlet 3.0 compatible container and with almost no configuration you'll have access to a fast and lightweight K,V store backed by any local mount point for persistent storage.
key-value-store database no-sql nosql key-valueAkavache is an asynchronous, persistent (i.e. writes to disk) key-value store created for writing desktop and mobile applications in C#, based on SQLite3. Akavache is great for both storing important data (i.e. user settings) as well as cached local data that expires. Downloading and storing remote data from the internet while still keeping the UI responsive is a task that nearly every modern application needs to do. However, many applications that don't take the consideration of caching into the design from the start often end up with inconsistent, duplicated code for caching different types of objects.
c-sharp cache reactive-extensions reactive-programming xamarinKeyv provides a consistent interface for key-value storage across multiple backends via storage adapters. It supports TTL based expiry, making it suitable as a cache or a persistent key-value store.Install Keyv.
keyv key-value cache key value store ttlEGOCache 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.
cache key-value ios watchos tvosFast, 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 databaseBangdb is pure vanilla key value nosql data store. The goal of bangdb is to be fast, reliable, robust, scalable and easy to use data store for various data management services required by applications. Bangdb comes in flavors like Embedded In memory, Network, Distributed data grid/ Elastic Cache. The bangdb is highly concurrent and runs parallel operations as much as possible.
database embedded-database key-value-store nosql distributed
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