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2. MongoDB - Wikipedia

   en.wikipedia.org/wiki/MongoDB

   MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB uses JSON-like documents with ...

3. 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. MongoDB, Inc. is a member of the MACH Alliance. [2]

4. NoSQL - Wikipedia

   en.wikipedia.org/wiki/NoSQL

   However, modern NoSQL databases often incorporate advanced features to optimize query performance. For example, MongoDB supports compound indexes and query-optimization strategies, Cassandra offers secondary indexes and materialized views, and Redis employs custom indexing mechanisms tailored to specific use cases.

5. Why MongoDB Stock Jumped 82% in the First Half of 2019 - AOL

   www.aol.com/news/why-mongodb-stock-jumped-82...

   The database software provider continues to put up impressive growth numbers.

6. MongoDB (NASDAQ:MDB) Has Debt But No Earnings; Should ... - AOL

   www.aol.com/news/mongodb-nasdaq-mdb-debt-no...

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7. MongoDB (MDB) to Report Q3 Earnings: What's in the Offing? - AOL

   www.aol.com/news/mongodb-mdb-report-q3-earnings...

   MongoDB's (MDB) third-quarter fiscal 2023 results are expected to reflect the growing adoption of its cloud-based platform, Atlas.

8. MEAN (solution stack) - Wikipedia

   en.wikipedia.org/wiki/MEAN_(solution_stack)

   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.

9. LAMP (software bundle) - Wikipedia

   en.wikipedia.org/wiki/LAMP_(software_bundle)

   MongoDB is a NoSQL database that eschews the traditional relational database structure in favor of JSON-like documents with dynamic schemas (calling the format BSON), making the integration of data in certain types of applications easier and faster.