Multi-model database: Difference between revisions

Revision as of 08:25, 7 October 2024

Revision as of 20:39, 5 December 2024

Line 7:

A multi-model database is a database that can store, index and query data in more than one model. For some time, databases have primarily supported only one model, such as: [[relational database]], [[document-oriented database]], [[graph database]] or [[triplestore]]. A database that combines many of these is multi-model.

For some time,{{vague|date=April 2024}} it was all but forgotten (or considered irrelevant) that there were any other database models besides relational.{{cncitation needed|date=April 2024}} The relational model and notion of [[third normal form]] were the default standard for all data storage. However, prior to the dominance of relational data modeling, from about 1980 to 2005, the [[hierarchical database model]] was commonly used. Since 2000 or 2010, many [[NoSQL]] models that are non-relational, including documents, triples, key–value stores and graphs are popular. Arguably, [[geospatial data]], [[temporal data]], and [[text data]] are also separate models, though indexed, queryable text data is generally termed a "[[search engine]]" rather than a database.{{Citation needed|date=March 2021}}

The first time the word "multi-model" has been associated to the databases was on May 30, 2012 in Cologne, Germany, during the [[Luca Garulli]]'s key note "''NoSQL Adoption – What’s the Next Step?''".<ref>{{Cite web|date=2012-06-01|title=Multi-Model storage 1/2 one product|url=http://www.slideshare.net/lvca/no-sql-matters2012keynote/47-MultiModel_storage_12_one_product}}</ref><ref>{{Cite web|url=https://2012.nosql-matters.org/cgn/wp-content/uploads/2012/06/KeyNote-Luca-Garulli.pdf|title=Nosql Matters Conference 2012 {{!}} NoSQL Matters CGN 2012|website=2012.nosql-matters.org|access-date=2017-01-12}}</ref> Luca Garulli envisioned the evolution of the 1st generation NoSQL products into new products with more features able to be used by multiple use cases.

Line 63:

[[Category:Data analysis]]

[[Category:Big data]]

[[Category:Database management systems]]