Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

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 …

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 …

Modern Hybrid Transactional/Analytical Processing (HTAP) systems use an integrated data
processing engine that performs analytics on fresh data, which are ingested from a …

Growing main memory sizes have facilitated database management systems that keep the
entire database in main memory. The drastic performance improvements that came along …

GPUs are becoming increasingly popular in large scale data center installations due to their
strong, embarrassingly parallel, processing capabilities. Data management systems are …

Efficient transaction management is a delicate task. As systems face transactions of
inherently different types, ranging from point updates to long-running analytical queries, it is …

Memory management is one of the most boring topics in database research. It plays a minor
role in tasks like free-space management or efficient space usage. Here and there we also …

Traditionally, business applications have separated their data into an OLTP data store for
high throughput transaction processing and a data warehouse for complex query …

For decades, database engines have found the generic interfaces offered by the operating
systems at odds with the need for efficient utilization of hardware resources. As a result, most …