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Osmosisprone (talk | contribs) Added request for citation. Paragraph makes assertions about the history of database engine usage habits (ostensibly worldwide) without citations to lend any credence to the contained statements. It is doubtful these are common knowledge. Tags: Visual edit Mobile edit Mobile web edit |
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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, it was all but forgotten (or considered irrelevant) that there were any other database models besides Relational. The Relational model and notion of [[third normal form]] were the de facto 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, and 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.
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