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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 ...
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, Sleepycat/Oracle dual GPL-like Sleepycat License Apache Cassandra: Key-value Yes Yes Distributed Partial Only supports CAS (Check And Set) after 2.1.1 and later [5] [6] Yes Java
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 ]
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
The introduction of the snapshot read concern in MongoDB 4.0 eliminated this risk. [70] MongoDB claimed that version 3.6.4 had passed "the industry's toughest data safety, correctness, and consistency tests" by Jepsen, and that "MongoDB offers among the strongest data consistency, correctness, and safety guarantees of any database available today."
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). It was created to help address some scalability issues that Amazon experienced during the holiday season of 2004. [2]
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