Due to their high computational power and internal memory bandwidth, graphic processing
units (GPUs) have been extensively studied by the database systems research community …

The increases in main-memory sizes over the last decade have made pure in-memory
database systems feasible, and in-memory systems offer unprecedented performance …

The immense popularity of SQLite shows that there is a need for unobtrusive in-process data
management solutions. However, there is no such system yet geared towards analytical …

Many organizations are shifting to a data management paradigm called the" Lakehouse,"
which implements the functionality of structured data warehouses on top of unstructured …

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 …

In-memory database management systems (DBMSs) are a key component of modern on-
line analytic processing (OLAP) applications, since they provide low-latency access to large …

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 …

An efficient implementation of a hash join has been a highly researched problem for
decades. Recently, the radix join has been shown to have superior performance over the …

This article provides an overview of recent developments in mainmemory database systems.
With growing memory sizes and memory prices drop** by a factor of 10 every 5 years …

Analytics is moving to the cloud and data is moving into data lakes. These reside on object
storage services like S3 and enable seamless data sharing and system interoperability. To …