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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.
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.
Redis popularized the idea of a system that can be considered a store and a cache at the same time. It was designed so that data is always modified and read from the main computer memory, but also stored on disk in a format that is unsuitable for random data access.
In this model, data is represented as a collection of key–value pairs, such that each possible key appears at most once in the collection. [26] [27] The key–value model is one of the simplest non-trivial data models, and richer data models are often implemented as an extension of it.
The dbm library stores arbitrary data by use of a single key (a primary key) in fixed-size buckets and uses hashing techniques to enable fast retrieval of the data by key. The hashing scheme used is a form of extendible hashing , so that the hashing scheme expands as new buckets are added to the database, meaning that, when nearly empty, the ...
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]
Open Source (AGPL) Flash-optimized in-memory open source NoSQL database. ALTIBASE HDB: Altibase Corporation 1999 Java, C, C++, JDBC, ODBC, SQL Proprietary Altibase is a hybrid DBMS that combines an in-memory database with a conventional disk-resident database in a single unified engine.
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]