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A tabular data card proposed for Babbage's Analytical Engine showing a key–value pair, in this instance a number and its base-ten logarithm. A key–value database, or key–value store, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, and a data structure more commonly known today as a dictionary or hash table.
Apache Ignite is an in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs. With full SQL support, one of the main use cases for Apache Ignite is the in-memory database which scales horizontally and provides ACID transactions. ArangoDB: ArangoDB GmbH 2011
According to monthly DB-Engines rankings, Redis is often the most popular key–value database. [10] Redis has also been ranked the #4 NoSQL database in user satisfaction and market presence based on user reviews, [41] the most popular NoSQL database in containers, [42] and the #4 Data store of 2019 by ranking website stackshare.io. [43]
Valkey is an open-source in-memory storage, used as a distributed, in-memory key–value database, cache and message broker, with optional durability. [8] Because it holds all data in memory and because of its design, Valkey offers low-latency reads and writes, making it particularly suitable for use cases that require a cache.
LevelDB is an open-source on-disk key-value store written by Google fellows Jeffrey Dean and Sanjay Ghemawat. [2] [3] Inspired by Bigtable, [4] LevelDB source code is hosted on GitHub under the New BSD License and has been ported to a variety of Unix-based systems, macOS, Windows, and Android. [5]
RocksDB, like LevelDB, stores keys and values in arbitrary byte arrays, and data is sorted byte-wise by key or by providing a custom comparator. RocksDB provides all of the features of LevelDB, plus: Transactions [16] Backups [17] and snapshots [18] Column families [19] Bloom filters [20] Time to live (TTL) support [21] Universal compaction [22]
Apache Accumulo is a highly scalable sorted, distributed key-value store based on Google's Bigtable. [2] It is a system built on top of Apache Hadoop , Apache ZooKeeper , and Apache Thrift . Written in Java , Accumulo has cell-level access labels and server-side programming mechanisms.
Lightning Memory-Mapped Database (LMDB) is an embedded transactional database in the form of a key-value store. LMDB is written in C with API bindings for several programming languages . LMDB stores arbitrary key/data pairs as byte arrays, has a range-based search capability, supports multiple data items for a single key and has a special mode ...