Draft:Data-oriented programming

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Last edited by Killarnee (talk | contribs) 13 days ago. (Update)

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Data-oriented programming is a grouping of programming paradigms in which each paradigm is defined by its approach to code, rather than data. Just as code-oriented programming divides paradigms into imperative and declarative, and other sub-groups from there, so data-oriented programming groups its paradigms by the data structures they prioritize.

Categorization by data structure[edit]

The sub-groups are similar to the list of database models. The difference is that that list refers to database engines, whereas this is about the languages used; the languages used may or may not be part of a database engine, and one engine may support multiple models.

Some of the sub-groups are:

Table-oriented programming (TOP) languages, including relational database languages such as SQL, spreadsheet languages, and general-purpose TOP languages
Graph query languages, such as Gremlin, and RDF query languages such as SPARQL
Key-Value based languages, such as MUMPS, Caché ObjectScript

Other ways of categorization[edit]

Data-centric programming languages are a subset of data-oriented programming; they:

Are typically declarative
Are typically dataflow-oriented
Typically live in a data processing engine
Seem to be Domain-specific languages, rather than general-purpose languages with data-processing features.

References[edit]