Recent advances in graphics processing units (GPUs) have opened a new frontier in query processing and database systems. Leveraging the massively parallel architecture of GPUs, modern database engines ...

The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

Citus Data has launched CitusDB for Hadoop, a service that can process petabytes of data within seconds. The offering shows once again that the new class of analytics databases that can analyze ...

Data intensive applications that rely heavily on huge databases waste a lot of time in searching and retrieval especially if there is a single server retrieving data from the database. This paper ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

AWS has announced Parallel Query for Amazon Aurora. According to the company, this provides faster analytical queries over transactional data that can speed up queries by up to 2 orders of magnitude, ...