In recent years, trusted execution environments (TEEs) such as Intel Software Guard
Extensions (SGX) have gained a lot of attention in the database community. This is because …

Many of today's applications need massive real-time data processing. In-memory database
systems have become a good alternative for these requirements. These systems maintain …

Memory disaggregation (MD) allows for scalable and elastic data center design by
separating compute (CPU) from memory. With MD, compute and memory are no longer …

Data lineage describes the relationship between individual input and output data items of a
workflow, and has served as an integral ingredient for both traditional (eg, debugging …

ABSTRACT Pandas–the Python Data Analysis Library–is a powerful and widely used
framework for data analytics. In this work we present our approach to push down the …

CXL-based disaggregated memory systems offer options to expand the memory beyond the
limits of a single server via cache-coherent memory expansion cards or memory pools …

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

Transaction logging and log shipping are standard techniques to provide recoverability and
high availability in data management systems. They entail an update to a local log file at …

MVCC-based snapshot isolation promises that read queries can proceed without interfering
with concurrent writes. However, as we show experimentally, in existing implementations a …

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 …