With the advent of cloud computing, where computational resources are expensive and data
movement needs to be secured and minimized, database management systems need to …

This article provides an overview of recent developments in mainmemory database systems.
With growing memory sizes and memory prices dropping 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 …

Columnar databases rely on specialized encoding schemes to reduce storage
requirements. These encodings also enable efficient in-situ data processing. Nevertheless …

The prevalence of big data has caused a notable surge in both the diversity and magnitude
of data. Consequently, this has prompted the emergence and advancement of two distinct …

Strings are prevalent in real-world data sets. They often occupy a large fraction of the data
and are slow to process. In this work, we present Fast Static Symbol Table (FSST), a …

Graphics processing units (GPUs) promise spectacular performance advantages when used
as database coprocessors. Their massive compute capacity, however, is often hampered by …

A retrieval data structure for a static function $ f: S\rightarrow\{0, 1\}^ r $ supports queries that
return $ f (x) $ for any $ x\in S $. Retrieval data structures can be used to implement a static …

Index join performance is determined by the efficiency of the lookup operation on the
involved index. Although database indexes are highly optimized to leverage processor …

Process mining studies data-driven methods to discover, enhance, and monitor business
processes by gathering knowledge from event logs recorded by modern IT systems. To gain …