Efficient querying of multidimensional RDF data with aggregates: Comparing NoSQL, RDF and relational data stores

作者：

Highlights：

• Pre-aggregates improve the performance of all tested data stores.

• Relational databases outperform all other data stores.

• Neo4j NoSQL is more recommended than Cassandra NoSQL for manipulating multidimensional data, as it scales better for larger datasets.

• Neo4j performs better than Jena TDB2 and Virtuoso triple stores.

摘要

•Pre-aggregates improve the performance of all tested data stores.•Relational databases outperform all other data stores.•Neo4j NoSQL is more recommended than Cassandra NoSQL for manipulating multidimensional data, as it scales better for larger datasets.•Neo4j performs better than Jena TDB2 and Virtuoso triple stores.

论文关键词：Statistical RDF data,Graph aggregation,NoSQL,Data analytics

论文评审过程：Received 29 April 2019, Revised 20 January 2020, Accepted 23 January 2020, Available online 17 June 2020, Version of Record 7 August 2020.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2020.102089