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Amazon DocumentDB is a managed proprietary NoSQL database service that supports document data structures, with some compatibility with MongoDB version 3.6 (released by MongoDB in 2017) and version 4.0 (released by MongoDB in 2018). As a document database, Amazon DocumentDB can store, query, and index JSON data. It is available on Amazon Web ...
MongoDB Collections Documents Compatible with wire protocol version 6 and server version 3.6 of the MongoDB. [6] Gremlin Graphs Nodes and edges Compatible with version 3.2 of the Gremlin specification. Cassandra Table Row Compatible with version 4 of the Cassandra Query Language (CQL) wire protocol. Azure Table Storage Table Item etcd Key Value
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."
MEAN (MongoDB, Express.js, AngularJS (or Angular), and Node.js) [1] is a source-available JavaScript software stack for building dynamic web sites and web applications. [2] A variation known as MERN replaces Angular with React.js front-end, [3] [4] and another named MEVN use Vue.js as front-end.
Distributed NoSQL Document Database, JSON model and SQL based Query Language. Yes [9] CouchDB: Apache Software Foundation: Apache License: Any language that can make HTTP requests JSON over REST/HTTP with Multi-Version Concurrency Control and limited ACID properties. Uses map and reduce for views and queries. [10] Yes [11] CrateDB: Crate.io ...
MongoDB, Inc. is an American software company that develops and provides commercial support for the source-available database engine MongoDB, a NoSQL database that stores data in JSON-like documents with flexible schemas. MongoDB, Inc. is a member of the MACH Alliance. [2]
Since this non-relational database design does not require a schema, it offers rapid scalability to manage large and typically unstructured data sets. [2] NoSQL systems are also sometimes called "Not only SQL" to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. [3] [4]
One of the arguments against using an OODBMS is that it may not be able to execute ad-hoc, application-independent queries. [citation needed] For this reason, many programmers find themselves more at home with an object-SQL mapping system, even though most object-oriented databases are able to process SQL queries to a limited extent. Other ...