Modern database systems for online analytical processing (OLAP) typically rely on in-
memory processing. Keeping all active data in DRAM severely limits the data capacity and …

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 …

TPC-H continues to be the most widely used benchmark for relational OLAP systems. It
poses a number of challenges, also known as" choke points", which database systems have …

Self-tuning is a feature of autonomic databases that includes the problem of automatic
schema design. It aims at providing an optimized schema that increases the overall …

An efficient selection of indexes is indispensable for database performance. For large
problem instances with hundreds of tables, existing approaches are not suitable: They either …

Traditional data lakes provide critical data infrastructure for analytical workloads by enabling
time travel, running SQL queries, ingesting data with ACID transactions, and visualizing …

Many application domains can benefit from hybrid transaction/analytical processing (HTAP)
by executing queries on real-time datasets produced by concurrent transactions. However …

Data encoding has been applied to database systems for decades as it mitigates bandwidth
bottlenecks and reduces storage requirements. But even in the presence of these …

In this paper, we present MorphStore, an open-source in-memory columnar analytical query
engine with a novel holistic compression-enabled processing model. Basically, compression …

Online encyclopaedias such as Wikipedia implement their own version control above
database systems to manage multiple revisions of the same page. In contrast to temporal …