2023•Unpublished venueOpen access

A Comparative Performance Evaluation of Multi-Model NoSQL Databases and Polyglot Persistence

Dimitri Van Landuyt, Julien Benaouda, Vincent Reniers, Ansar Rafique, Wouter Joosen

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Abstract

Multi-model databases support different NoSQL data models at once, typically a combination of relational, key-value, document, and graph models. Their expected benefits include increased versatility, reduced installation complexity, improved database performance, and smaller storage footprint. However, these benefits are insufficiently investigated, and current studies lack a comparison between multi-model databases and equivalent polyglot database architectures, i.e. setups that combine different technologies to accomplish the same functionality.

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Multi-model databases support different NoSQL data models at once, typically a combination of relational, key-value, document, and graph models. Their expected benefits include increased versatility, reduced installation complexity, improved database performance, and smaller storage footprint. However, these benefits are insufficiently investigated, and current studies lack a comparison between multi-model databases and equivalent polyglot database architectures, i.e. setups that combine different technologies to accomplish the same functionality.

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Available abstract

Multi-model databases support different NoSQL data models at once, typically a combination of relational, key-value, document, and graph models. Their expected benefits include increased versatility, reduced installation complexity, improved database performance, and smaller storage footprint. However, these benefits are insufficiently investigated, and current studies lack a comparison between multi-model databases and equivalent polyglot database architectures, i.e. setups that combine different technologies to accomplish the same functionality.

Key concepts: NoSQL, Polyglot, Computer science, Relational database, Database, Data modeling, Key (lock), Data mining

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