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  2. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    BSON (/ ˈ b iː s ə n / [2]) is a computer data interchange format. 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.

  3. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    BSON: MongoDB: JSON: No BSON Specification: Yes No No No No No Cap'n Proto: Kenton Varda — No Cap'n Proto Encoding Spec: Yes Partial h: No Yes No Yes CBOR: Carsten Bormann, P. Hoffman: MessagePack [2] Yes RFC 8949 Yes No Yes, through tagging CDDL: FIDO2: No Comma-separated values (CSV) RFC author: Yakov Shafranovich — Myriad informal ...

  4. 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 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).

  5. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    Internally, Cosmos DB stores "items" in "containers", [3] with these two concepts being surfaced differently depending on the API used (these would be "documents" in "collections" when using the MongoDB-compatible API, for example). Containers are grouped in "databases", which are analogous to namespaces above containers.

  6. 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]

  7. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    MongoDB uses JSON-like data for its document-oriented database. Some relational databases, such as PostgreSQL and MySQL, have added support for native JSON data types. This allows developers to store JSON data directly in a relational database without having to convert it to another data format.

  8. 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.

  9. JSON-RPC - Wikipedia

    en.wikipedia.org/wiki/JSON-RPC

    JSON-RPC (JavaScript Object Notation-Remote Procedure Call) is a remote procedure call (RPC) protocol encoded in JSON. It is similar to the XML-RPC protocol, defining only a few data types and commands. JSON-RPC allows for notifications (data sent to the server that does not require a response) and for multiple calls to be sent to the server ...