Lightweight integer compression algorithms are frequently applied in in-memory database
systems to tackle the growing gap between processor speed and main memory bandwidth …

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 …

In this demo, we present MorphStore, an in-memory column store with a novel compression-
aware query processing concept. Basically, compression using lightweight integer …

Due to the increasing demand for scalable and interactive data analytics, column stores
have become the de-facto choice in many analytical databases. As a common and …

Integer compression algorithms play an important role in columnoriented data systems.
Previous research has shown that the vectorized implementation of these algorithms based …

For fast and efficient data processing, a common approach in many application domains is
to mainly store and process data in form of arrays of integers offering several benefits. For …

With the ongoing shift to a data-driven world in almost all application domains, the
management and in particular the analytics of large amounts of data gain in importance. For …

Abstract (DE) Spaltenorientierte InMemory Datenbanksysteme müssen sowohl Basisdaten
als auch generierte Zwischenergebnisse während der Anfrageverarbeitung im …

Abstract (EN) In this demo, we present MorphStore, an in-memory column store with a novel
compression-aware query processing concept. Basically, compression using lightweight …

Data management is a core service for every business or scientific application. The data life
cycle consists of different phases starting from understanding external data sources and …