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MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB uses JSON -like documents with optional schemas . Released in February 2009 by 10gen (now MongoDB Inc. ), it supports features like sharding , replication , and ACID transactions (from version 4.0).
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.
That need prompted MongoDB (NASDAQ: MDB) to introduce Atlas, a non-relational database that can store unstructured data types. However, Oracle responded by introducing its own non-relational database.
Among the winners today were MongoDB (NASDAQ: MDB), Salesforce (NYSE: CRM), and GitLab (NASDAQ: GTLB). MongoDB is a provider of NoSQL database software, and AI has huge potential applications in ...
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 ...
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".
Performance data covers Jan. 1 to Dec. 6, 2024. Enterprise solutions. The enterprise AI market represents one of the clearest paths to monetization in the entire AI value chain.
It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]