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  2. Comparison of structured storage software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_structured...

    Java: Apache, GridGain Systems Apache 2.0: Apache Jackrabbit: Key-value & Hierarchical & Document Yes Yes Yes Yes likely Java: Apache, Roy Fielding, Day Software: Apache 2.0: Berkeley DB/Dbm 1.x Key-value Yes No No No No C: old school Various Berkeley DB Sleepycat/Oracle Berkeley DB 5.x Key-value Yes Yes Yes Yes No C, C++, or Java dbm ...

  3. Voldemort (distributed data store) - Wikipedia

    en.wikipedia.org/wiki/Voldemort_(distributed...

    Voldemort does not try to satisfy arbitrary relations and the ACID properties, but rather is a big, distributed, persistent hash table. [2] A 2012 study comparing systems for storing application performance management data reported that Voldemort, Apache Cassandra, and HBase all offered linear scalability in most cases, with Voldemort having the lowest latency and Cassandra having the highest ...

  4. Apache Cassandra - Wikipedia

    en.wikipedia.org/wiki/Apache_Cassandra

    Apache Cassandra is a free and open-source database management system designed to handle large volumes of data across multiple commodity servers. The system prioritizes availability and scalability over consistency , making it particularly suited for systems with high write throughput requirements due to its LSM tree indexing storage layer. [ 2 ]

  5. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    Different NoSQL databases, such as DynamoDB, MongoDB, Cassandra, Couchbase, HBase, and Redis, exhibit varying behaviors when querying non-indexed fields. Many perform full-table or collection scans for such queries, applying filtering operations after retrieving data.

  6. Dynamo (storage system) - Wikipedia

    en.wikipedia.org/wiki/Dynamo_(storage_system)

    Dynamo is a set of techniques that together can form a highly available key-value structured storage system [1] or a distributed data store. [1] It has properties of both databases and distributed hash tables (DHTs).

  7. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    fully managed MongoDB v3.6-compatible database service Yes DynamoDB: Amazon Web Services: Proprietary Java, JavaScript, Node.js, Go, C#.NET, Perl, PHP, Python, Ruby, Rust, Haskell, Erlang, Django, and Grails: fully managed proprietary NoSQL database service that supports key–value and document data structures Yes Elasticsearch: Shay Banon

  8. ScyllaDB - Wikipedia

    en.wikipedia.org/wiki/ScyllaDB

    It supports the same protocols as Cassandra and the same file formats (SSTable), but is a completely rewritten implementation, using the C++20 language replacing Cassandra's Java, and the Seastar [1] asynchronous programming library replacing classic Linux programming techniques such as threads, shared memory and mapped files.

  9. Key–value database - Wikipedia

    en.wikipedia.org/wiki/Key–value_database

    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.