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  2. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    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

  3. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    The data structures used by NoSQL databases (e.g. keyvalue pair, wide column, graph, or document) are different from those used by default in relational databases, making some operations faster in NoSQL. The particular suitability of a given NoSQL database depends on the problem it must solve.

  4. Aerospike (database) - Wikipedia

    en.wikipedia.org/wiki/Aerospike_(database)

    Aerospike can also be deployed as a fully in-memory cache database. Aerospike offers Key-Value, JSON Document, Graph data, and Vector Search models. Aerospike is an open source distributed NoSQL database management system, marketed by the company also named Aerospike. [1]

  5. Redis - Wikipedia

    en.wikipedia.org/wiki/Redis

    According to monthly DB-Engines rankings, Redis is often the most popular keyvalue 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]

  6. Riak - Wikipedia

    en.wikipedia.org/wiki/Riak

    Riak (pronounced "ree-ack" [2]) is a distributed NoSQL key-value data store that offers high availability, fault tolerance, operational simplicity, and scalability. [3] Riak moved to an entirely open-source project in August 2017, with many of the licensed Enterprise Edition features being incorporated. [4]

  7. LevelDB - Wikipedia

    en.wikipedia.org/wiki/LevelDB

    LevelDB stores keys and values in arbitrary byte arrays, and data is sorted by key. It supports batching writes, forward and backward iteration, and compression of the data via Google's Snappy compression library. LevelDB is not an SQL database. Like other NoSQL and dbm stores, it does not have a relational data model and it does not support ...

  8. Key–value database - Wikipedia

    en.wikipedia.org/wiki/Keyvalue_database

    A tabular data card proposed for Babbage's Analytical Engine showing a keyvalue pair, in this instance a number and its base-ten logarithm. A keyvalue database, or keyvalue 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.

  9. Valkey - Wikipedia

    en.wikipedia.org/wiki/Valkey

    Valkey is an open-source in-memory storage, used as a distributed, in-memory keyvalue 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.