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  2. 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. Mongoose includes built-in type casting, validation, query building, business logic hooks, and more, out of ...

  3. 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 optional schemas. Released in February 2009 by 10gen (now MongoDB Inc.), it supports features like sharding, replication, and ACID transactions (from version 4.0).

  4. MEAN (solution stack) - Wikipedia

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

    MongoDB is a NoSQL database program that uses JSON-like BSON (binary JSON) documents with optional schemas. The role of the database in the MEAN stack is very commonly filled by MongoDB because its use of JSON-like documents for interacting with data as opposed to the row/column model allows it to integrate well with the other (JavaScript-based ...

  5. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    The name "BSON" is based on the term JSON and stands for "Binary JSON". [2] It is a binary form for representing simple or complex data structures including associative arrays (also known as name-value pairs), integer indexed arrays, and a suite of fundamental scalar types. BSON originated in 2009 at MongoDB. Several scalar data types are of ...

  6. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    Encodings in use include XML, YAML, and JSON and binary forms like BSON. Documents are addressed in the database via a unique key that represents that document. Another defining characteristic of a document-oriented database is an API or query language to retrieve documents based on their contents.

  7. Schema.org - Wikipedia

    en.wikipedia.org/wiki/Schema.org

    Schema.org is an initiative launched on June 2, 2011, by Bing, Google and Yahoo! [ 3 ] [ 4 ] [ 5 ] (operators of the world's largest search engines at that time) [ 6 ] to create and support a common set of schemas for structured data markup on web pages.

  8. YAML - Wikipedia

    en.wikipedia.org/wiki/YAML

    YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).

  9. XML Schema editors - Wikipedia

    en.wikipedia.org/wiki/XML_Schema_editors

    The problems users face when working with the XSD standard can be mitigated with the use of graphical editing tools. Although any text-based editor can be used to edit an XML Schema, a graphical editor offers advantages; allowing the structure of the document to be viewed graphically and edited with validation support, entry helpers and other useful features.