The Linked Data Benchmark Council (LDBC) is now two years underway and has gathered
strong industrial participation for its mission to establish benchmarks, and benchmarking …

With modern computer architecture evolving, two problems conspire against the state-of-the-
art approaches in parallel query execution:(i) to take advantage of many-cores, all query …

Finding a good join order is crucial for query performance. In this paper, we introduce the
Join Order Benchmark that works on real-life data riddled with correlations and introduces …

Query performance prediction, the task of predicting the latency of a query, is one of the most
challenging problem in database management systems. Existing approaches rely on …

The Internet of Things (IoT) has become widespread around the world. Since a large
number of diverse devices, such as vehicles, household electrical appliances, smart …

The query engines of most modern database systems are either based on vectorization or
data-centric code generation. These two state-of-the-art query processing paradigms are …

Effective query optimization is a core feature of any database management system. While
most query optimization techniques make use of simple metadata, such as cardinalities and …

In-memory databases require careful tuning and many engineering tricks to achieve good
performance. Such database performance engineering is hard: a plethora of data and …

GPU-accelerated database systems have been studied for more than 10 years, ranging from
prototyping development to industry products serving in multiple domains of data …

The Social Network Benchmark's Business Intelligence workload (SNB BI) is a
comprehensive graph OLAP benchmark targeting analytical data systems capable of …