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  2. 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.

  3. Berkeley DB - Wikipedia

    en.wikipedia.org/wiki/Berkeley_DB

    Berkeley DB (BDB) is an embedded database software library for key/value data, historically significant in open-source software. Berkeley DB is written in C with API bindings for many other programming languages. BDB stores arbitrary key/data pairs as byte arrays and supports multiple data items for a single key.

  4. LevelDB - Wikipedia

    en.wikipedia.org/wiki/LevelDB

    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. 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.

  6. RocksDB - Wikipedia

    en.wikipedia.org/wiki/RocksDB

    RocksDB is free and open-source software, released originally under a BSD 3-clause license. [7] [8] [9] However, in July 2017 the project was migrated to a dual license of both Apache 2.0 and GPLv2 license. [10] This change helped its adoption in Apache Software Foundation's projects after blacklist of the previous BSD+Patents license clause ...

  7. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]

  8. 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 ]

  9. Lightning Memory-Mapped Database - Wikipedia

    en.wikipedia.org/wiki/Lightning_Memory-Mapped...

    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 ...

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