A key-value database system stores and retrieves data as simple associative pairs, each mapping a unique key to a value the store treats as an opaque unit rather than parsing its internal structure. Lookups, insertions and deletions typically run in close to constant time because the engine does not need to maintain relationships between records or interpret each value's contents, which lets a key-value store handle very high throughput with a comparatively simple internal design. This trade-off suits caching layers, session storage and other workloads that need fast, predictable single-record access, at the cost of the richer querying, joins and secondary indexing that a relational or document-oriented system offers instead.
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Key-Value Database System
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Wikipedia: Key-value database
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A key-value database, or key-value store, is a data storage paradigm designed for storing, retrieving, and managing associative arrays, a data structure more commonly known today as a dictionary.
View the Source Wikidata: Redis
Has Member: Redis, Wikidata lists Redis (Q2136322) as an instance of key-value database system (Q20706915)View the Source Wikidata: Riak
Has Member: Riak, Wikidata lists Riak (Q2328712) as an instance of key-value database system (Q20706915)View the Source Wikidata: Berkeley DB
Has Member: Berkeley DB, Wikidata lists Berkeley DB (Q820854) as an instance of key-value database system (Q20706915)View the Source DB-Engines: Memcached System Properties - DB-Engines
DB-EnginesHas Member: Memcached, System properties tableQuote, Has Member: Memcached, System properties table
In-memory key-value store, originally intended for caching
View the Source Wikipedia: RocksDB
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embedded database for key-value data
View the Source Wikipedia: LevelDB
Wikimedia FoundationHas Member: LevelDB, Lead sectionQuote, Has Member: LevelDB, Lead section
open-source on-disk key-value store
View the Source Wikipedia: etcd
Wikimedia FoundationHas Member: etcd, Lead sectionQuote, Has Member: etcd, Lead section
is a key-value database
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