{"id":2763,"date":"2023-06-08T14:55:00","date_gmt":"2023-06-08T12:55:00","guid":{"rendered":"https:\/\/marcovogt.de\/?p=2763"},"modified":"2024-09-08T17:30:05","modified_gmt":"2024-09-08T15:30:05","slug":"mmsbench-net-scenario-based-evaluation-of-multi-model-database-systems","status":"publish","type":"post","link":"https:\/\/marcovogt.de\/index.php\/2023\/06\/08\/mmsbench-net-scenario-based-evaluation-of-multi-model-database-systems\/","title":{"rendered":"MMSBench-Net: Scenario-Based Evaluation of Multi-Model Database Systems"},"content":{"rendered":"\n<p><strong>Authors:<\/strong> David Lengweiler, Marco Vogt, Heiko Schuldt<\/p>\n\n\n\n<p>Multi-model database systems have gained increasing popularity due to their efficient management of diverse types of data and support for complex queries. They offer a unified approach for managing data in various formats, including structured, semi-structured, and unstructured data. However, benchmarking the performance of such systems is a challenging task, given their complexity, mainly due to their support for multiple data models. While significant research exists for benchmarking single-model databases, a comprehensive approach for evaluating multi-model databases is still in an early stage. To address this challenge, we propose MMSBench-Net, a benchmark for evaluating multi-model database systems that support structured relational, semi-structured document, and graph data models. MMSBench-Net enables comparative analysis of database systems and demonstrates how different workloads can reveal the strengths and weaknesses of multi-model database systems.<br>To demonstrate the effectiveness of the benchmark, we compare the performance of two database systems: Polypheny and SurrealDB. Our work is a first step towards a comprehensive evaluation methodology for multi-model database systems.<\/p>\n\n\n\n<p><strong>Link:<\/strong> <a href=\"https:\/\/gvdb23.informatik.uni-stuttgart.de\/wp-content\/uploads\/2023\/06\/GvDB2023_Lengweiler.pdf\" data-type=\"URL\" data-id=\"https:\/\/gvdb23.informatik.uni-stuttgart.de\/wp-content\/uploads\/2023\/06\/GvDB2023_Lengweiler.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Paper<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research Paper<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[22],"tags":[],"class_list":["post-2763","post","type-post","status-publish","format-standard","hentry","category-publication"],"acf":[],"_links":{"self":[{"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/posts\/2763","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/comments?post=2763"}],"version-history":[{"count":3,"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/posts\/2763\/revisions"}],"predecessor-version":[{"id":2787,"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/posts\/2763\/revisions\/2787"}],"wp:attachment":[{"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/media?parent=2763"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/categories?post=2763"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marcovogt.de\/index.php\/wp-json\/wp\/v2\/tags?post=2763"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}