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MongoDB: Document (JSON) Yes Yes fail-over Partial Single document atomicity [17] No C++ 10gen GNU AGPL v3.0: Neo4j: Graph database: Yes Yes Yes Yes No Java Neo Technology GNU GPL v3.0: OrientDB: Multi-Model (Graph-Document-Object-Key/Value) Yes Yes [18] Yes [19] Yes [20] Yes Java Orient Technologies Apache 2.0: Redis: Key-value Yes. But last ...
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 ...
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.
Disk Cloning Software Disk cloning capabilities of various software. Name Operating system User Interface Cloning features Operation model License
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 ]
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).
Document stores use the metadata in the document to classify the content, allowing them, for instance, to understand that one series of digits is a phone number, and another is a postal code. This allows them to search on those types of data, for instance, all phone numbers containing 555, which would ignore the zip code 55555.
The PACELC theorem was first described by Daniel Abadi from Yale University in 2010 in a blog post, [2] which he later clarified in a paper in 2012. [3] The purpose of PACELC is to address his thesis that "Ignoring the consistency/latency trade-off of replicated systems is a major oversight [in CAP], as it is present at all times during system operation, whereas CAP is only relevant in the ...