Benchmarking Virtuoso 8 at the Mighty Storage Challenge 2018: Challenge Results Milos Jovanovik 1,2 and Mirko Spasi´ c 1,3 1 OpenLink Software, United Kingdom 2 Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia 3 Faculty of Mathematics, University of Belgrade, Serbia {mjovanovik,mspasic}@openlinksw.com Abstract. Following the success of Virtuoso at last year’s Mighty Stor- age Challenge - MOCHA 2017, we decided to participate once again and test the latest Virtuoso version against the new tasks which comprise the MOCHA 2018 challenge. The aim of the challenge is to test the performance of solutions for SPARQL processing in aspects relevant for modern applications: ingesting data, answering queries on large datasets and serving as backend for applications driven by Linked Data. The chal- lenge tests the systems against data derived from real applications and with realistic loads, with an emphasis on dealing with changing data in the form of streams or updates. Virtuoso, by OpenLink Software, is a modern enterprise-grade solution for data access, integration, and rela- tional database management, which provides a scalable RDF Quad Store. In this paper, we present the final challenge results from MOCHA 2018 for Virtuoso v8.0, compared to the other participating systems. Based on these results, Virtuoso v8.0 was declared as the overall winner of MOCHA 2018. Keywords: Virtuoso, Mighty Storage Challenge, MOCHA, Benchmarks, Data Storage, Linked Data, RDF, SPARQL 1 Introduction Last year’s Mighty Storage Challenge, MOCHA 2017, was quite successful for our team and Virtuoso – we won the overall challenge [6, 11]. Building on that, we decided to participate in this year’s challenge as well, in all four challenge tasks: (i) RDF data ingestion, (ii) data storage, (iii) versioning and (iv) browsing. The Mighty Storage Challenge 2018 4 aims to provide objective measures for how well current systems perform on real tasks of industrial relevance, and also help detect bottlenecks of existing systems to further their development towards practical usage. This arises from the need for devising systems that achieve acceptable performance on real datasets and real loads, as a subject of central importance for the practical applicability of Semantic Web technologies. 4 https://project-hobbit.eu/challenges/mighty-storage-challenge2018/