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.
http://sophia.systems/index.htmlTags | cache key-value key-value-store database off-heap |
Implementation | C |
License | Public |
Platform | Windows Linux |
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.
distributed-caching cache key-value-store key-valueDiskCache is a disk and file backed cache library, written in pure-Python, and compatible with Django. The cloud-based computing of 2021 puts a premium on memory. Gigabytes of empty space is left on disks as processes vie for memory. Among these processes is Memcached (and sometimes Redis) which is used as a cache. It is good to use empty disk space for caching.
cache caching off-heap key-value key-value-storeMapDB is an embedded database engine. It provides Maps and other collections backed by disk or memory storage. It offers excellent performance comparable to java collections, but is not limited by GC overhead. It is also a full database engine with storage backends, transactions, cache algorithms, expiration and many other options. MapDB provides concurrent Maps, Sets and Queues backed by disk storage or off-heap memory.
embedded-database database java-collections off-heap cache in-memory key-value-storeManaging large application state easily, resiliently, and with high performance is one of the hardest problems in the cloud today. The FASTER project offers two artifacts to help tackle this problem. FASTER Log is a high-performance concurrent persistent recoverable log, iterator, and random reader library in C#. FASTER KV is a concurrent key-value store + cache (available in C# and C++) that is designed for point lookups and heavy updates.
key-value cache library logging persistent indexing concurrent hash-table key-value-store multi-threaded recoverableFast, 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 databasepickleDB is a lightweight and simple key-value store. It is built upon Python's simplejson module and was inspired by redis.
key-value-store key-value cache python-database databaseBolt is a pure Go key/value store inspired by Howard Chu's LMDB project. The goal of the project is to provide a simple, fast, and reliable database for projects that don't require a full database server such as Postgres or MySQL.
cache key-value key-value-storeKeyv 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. It works with any storage that implements the Map API. It handles all JSON types plus Buffer. It has wide range of efficient, well tested storage adapters.
key-value cache key value store ttl key-value-storeFoundationDB 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.
key-value-store transactional acid distributed-database key-value database multi-modelHyperDex 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-storeUnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to MongoDB, Redis, CouchDB etc. as well a standard Key/Value store similar to BerkeleyDB, LevelDB, etc.
database embedded-database json-database document-store key-value-store json mobile-database transactionalForestDB 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 databaseConcurrency. 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-valueSkytable is an effort to provide the best of key/value stores, document stores and columnar databases, that is, simplicity, flexibility and queryability at scale. The name 'Skytable' exemplifies our vision to create a database that has limitless possibilities. It is natively multithreaded and scales to millions of queries per second per node with no optimizations left off the table. The database server doesn't need more than 1MB to run.
sql database nosql dbms distributed-database document-database multi-model column-store beginner-friendly nosql-database database-engine database-server contributions-welcome key-value-store terrabasedb skybaseBuntDB 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-storeMemcached 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-storeBadgerDB 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.
key-value database key-value-storeThe 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 aggregationEhcache 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-valueBangdb 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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