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MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and current versions are licensed under the Server Side Public License (SSPL). MongoDB is a member of the MACH Alliance.
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.
PHP is free software released under the terms of PHP License, which is incompatible with the GNU General Public License (GPL) due to the restrictions PHP License places on the usage of the term PHP. [12] Perl is a family of high-level, general-purpose, interpreted, dynamic programming languages. The languages in this family include Perl 5 and ...
The company was first established in 2007 as 10gen. Based in New York City, 10gen was founded by former DoubleClick founder and CTO Dwight Merriman and former DoubleClick CEO and Gilt Groupe founder Kevin P. Ryan with former Doubleclick engineer and ShopWiki founder and CTO Eliot Horowitz and received $81 million in venture capital funding from Flybridge Capital Partners, In-Q-Tel, Intel ...
Spoilers ahead! We've warned you. We mean it. Read no further until you really want some clues or you've completely given up and want the answers ASAP. Get ready for all of today's NYT ...
BSON originated in 2009 at MongoDB. Several scalar data types are of specific interest to MongoDB and the format is used both as a data storage and network transfer format for the MongoDB database, but it can be used independently outside of MongoDB.
“The thing that has impressed me with this team is that they don’t get down,” Chiefs head coach Andy Reid said Monday. “That’s not what they are.
Belief propagation, also known as sum–product message passing, is a message-passing algorithm for performing inference on graphical models, such as Bayesian networks and Markov random fields. It calculates the marginal distribution for each unobserved node (or variable), conditional on any observed nodes (or variables).