At the crux of many an enterprise-scale big data system stands either MapReduce or a parallel database management system. But which is more efficient? Researchers from Dublin Institute of Technology, ...

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 ...

ScaleOut Software, a leading provider of in-memory data grid software, announced a new query capability called “computational query” that combines Microsoft’s LINQ query with the company’s ...

Sybase has changed the structure of its Sybase IQ column-based database software to allow queries to be run in parallel, increasing the efficiency with which large datasets can be mined, queried and ...

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 ...

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 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 ...

MariaDB, originally best known as a fork of the open source MySQL database, has been gradually adding new features and architectural changes that have helped it establish its own identity and typecast ...