This paper evaluates the suitability of Apache Arrow, Parquet, and ORC as formats for
subsumption in an analytical DBMS. We systematically identify and explore the high-level …

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 …

Enterprises use distributed database systems to meet the demands of mixed or hybrid
transaction/analytical processing (HTAP) workloads that contain both transactional (OLTP) …

Nowadays, the volume of online data stored on websites is constantly increasing, and users'
demand for faster query response times is also on the rise with the expansion of network …

To provide applications with the ability to analyze fresh data and eliminate the time-
consuming ETL workflow, hybrid transactional and analytical (HTAP) systems have been …

Columnar storage is now an industry standard design in most open-source or commercial
time series database products, making them HTAP systems. The time column of a time …

Data Lakes deployed in the cloud are a go-to solution for enterprise data storage. While the
pay-as-you-go cost model allows flexible resource allocation and billing, it mandates an …

Recent in-memory database systems leverage advanced hardware features like RDMA to
provide transaction processing at millions of transactions per second. Distributed transaction …

Interactive applications require processing tens to hundreds of concurrent analytical queries
within tight time constraints. In such setups, where high concurrency causes contention …

In this paper, we propose to exploit synergy effects between partitioning and compression
for Dremel-encoded nested data serving as the data storage for Spark-style processing jobs …