Analytical workloads differ from transactional workloads in that most queries read a small subset of columns for very large numbers of rows. To optimize for these demands, most analytical databases ...

Columnar database technology burst on the data warehouse scene just a couple years ago with promises of faster query speeds on vast amounts of data. They delivered on that promise, but at a cost that ...

Over the past few years, there has been a subtle but significant shift in the way that data is structured in databases. Whereas yesterday’s databases were typically limited to storing data in rows and ...

The latest open source Big Data project to be advanced to top-level status by the Apache Software Foundation (ASF) is Kudu, a "columnar storage engine built for the Apache Hadoop ecosystem designed to ...

The FDAP stack brings enhanced data processing capabilities to large volumes of data. Apache Arrow acts as a cross-language development platform for in-memory data, facilitating efficient data ...

Please follow this link to view the full social media version of this news release on Teradata.com Unlike relational database management systems which only store data ...