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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 ...
With MongoDB 3.0, locks are implemented at the collection level for the MMAPv1 storage engine, [64] while the WiredTiger storage engine uses an optimistic concurrency protocol that effectively provides document-level locking. [65] Even with versions prior to 3.0, one approach to increase concurrency is to use sharding. [66]
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 ...
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 Compatible with version 3 of ...
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.
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]
In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.
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] Non-relational databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 2000s, [5] triggered by the needs of Web 2.0 ...