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  2. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    MongoDB is also available as an on-demand, fully managed service. MongoDB Atlas runs on AWS, Microsoft Azure and Google Cloud Platform. [45] On March 10, 2022, MongoDB warned its users in Russia and Belarus that their data stored on the MongoDB Atlas platform will be destroyed as a result of American sanctions related to the Russo-Ukrainian War ...

  3. Realm (database) - Wikipedia

    en.wikipedia.org/wiki/Realm_(database)

    Both a developer and a commercial edition [9] was released, along with a business license [10] for integrating with other database management systems such as PostgreSQL. [11] [12] In Spring 2019, MongoDB acquired Realm for 39 million USD. [13] In September 2023, the Realm database was rebranded to be called "Atlas Device SDKs".

  4. MongoDB Inc. - Wikipedia

    en.wikipedia.org/wiki/MongoDB_Inc.

    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.

  5. Mongoose (MongoDB) - Wikipedia

    en.wikipedia.org/wiki/Mongoose_(MongoDB)

    Mongoose is a JavaScript object-oriented programming library that creates a connection between MongoDB and the Node.js JavaScript runtime environment. [ 1 ] [ 2 ] It provides a straightforward, schema-based solution to model application data.

  6. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    Additionally, some NoSQL systems may exhibit lost writes and other forms of data loss. [14] Some NoSQL systems provide concepts such as write-ahead logging to avoid data loss. [15] For distributed transaction processing across multiple databases, data consistency is an even bigger challenge that is difficult for both NoSQL and relational databases.

  7. Import and export of data - Wikipedia

    en.wikipedia.org/wiki/Import_and_export_of_data

    The import and export of data is the automated or semi-automated input and output of data sets between different software applications.It involves "translating" from the format used in one application into that used by another, where such translation is accomplished automatically via machine processes, such as transcoding, data transformation, and others.

  8. 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

  9. 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]