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  2. 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.

  3. 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 .

  4. 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.

  5. Apache Accumulo - Wikipedia

    en.wikipedia.org/wiki/Apache_Accumulo

    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.

  6. Redis - Wikipedia

    en.wikipedia.org/wiki/Redis

    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.

  7. 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.

  8. 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]

  9. GT.M - Wikipedia

    en.wikipedia.org/wiki/GT.M

    GT.M is a high-throughput keyvalue database engine optimized for transaction processing. (It is a type also referred to as "schema-less", "schema-free", or "NoSQL".)GT.M is also an application development platform and a compiler for the ISO standard M language, also known as MUMPS.