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  2. Comparison of data-serialization formats - Wikipedia

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

    (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/ref, XPointer, XPath: WSDL, XML schema: DOM, SAX, XQuery ...

  3. Open Data Protocol - Wikipedia

    en.wikipedia.org/wiki/Open_Data_Protocol

    In OData protocol version 4.0, JSON format is the standard for representing data, with the Atom format still being in committee specification stage. For representing the data model, the Common Schema Definition Language (CSDL) is used, which defines an XML representation of the entity data model exposed by OData services.

  4. Schema matching - Wikipedia

    en.wikipedia.org/wiki/Schema_matching

    The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.

  5. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    An SQL schema is simply a namespace within a database; things within this namespace are addressed using the member operator dot ".". This seems to be a universal among all of the implementations. A true fully (database, schema, and table) qualified query is exemplified as such: SELECT * FROM database. schema. table

  6. Data exchange - Wikipedia

    en.wikipedia.org/wiki/Data_exchange

    Data exchange is the process of taking data structured under a source schema and transforming it into a target schema, so that the target data is an accurate representation of the source data. Data exchange allows data to be shared between different computer programs.

  7. Apache Avro - Wikipedia

    en.wikipedia.org/wiki/Apache_Avro

    It has two different types of schema languages: one for human editing (Avro IDL) and another which is more machine-readable based on JSON. [ 3 ] It is similar to Thrift and Protocol Buffers , but does not require running a code-generation program when a schema changes (unless desired for statically-typed languages).

  8. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    JSON over HTTP, SQL support, ACID transactions Yes Oracle NoSQL Database: Oracle Corp Apache and proprietary C, C#, Java, Python, node.js, Go Shared nothing, horizontally scalable database with support for schema-less JSON, fixed schema tables, and key/value pairs. Also supports ACID transactions. Yes Qizx: Qualcomm: Proprietary

  9. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).