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JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...
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. Released in February 2009 by 10gen (now MongoDB Inc.), it supports features like sharding, replication, and ACID transactions (from version 4.0).
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 ...
JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as XML. jq is like sed for JSON data – it can be used to slice and filter and map and transform structured data.
Suppose you are using JSON to keep configuration files, which you would like to annotate. Go ahead and insert all the comments you like. Then pipe it through JSMin [33] before handing it to your JSON parser." [21] MongoDB uses JSON-like data for its document-oriented database.
Yes (PostgreSQL, MySQL, SQLite, MongoDB, Solr, others via plugins) Yes No Yes Yes (Markers, Twig, others via plugins) Yes (File, Redis, others via plugins) Yes No Yes Yes, (jQuery mobile, Bootstrap, others via plugins) Symfony: PHP >= 8.1 [95] Prototype, script.aculo.us, Unobtrusive Ajax with UJS and PJS plugins Yes Push Yes Propel, Doctrine Yes
Examples: MongoDB, Cassandra, ScyllaDB, CouchDB, Redis. Document stores: Document stores store data in a semi-structured format, typically using JSON or XML documents. Each document can have a different structure, providing flexibility. Examples: MongoDB, CouchDB. Key-value stores: Key-value stores store data as pairs of keys and values.
And the new Mango Query Server provides a simple JSON-based way to perform CouchDB queries without JavaScript or MapReduce. Also in version 2.0.0 was the introduction of Fauxton, the new built-in web interface, to replace Futon, the old built-in web interface.