Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?

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, ...

For instance, in the above example, parallel databases with simple federation capabilities would still use the execution strategy A. ... To guarantee best performance, it is crucial that the query ...

Object storage is winning the battle for big data storage in such a convincing fashion that database makers are beginning to cede data storage to object storage vendors and concentrating instead on ...

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 ...

ScaleOut Software has integrated Microsoft's powerful LINQ-based query capability into its in-memory data grid, allowing applications to perform fully distributed queries for grid-based objects.

OLAP databases solve these issues by providing a separate, optimized database for analytical queries. There are several ways to optimize databases for analysis, as we’ll discuss. OLAP explained ...

As the company name suggests, Swarm64 leverages parallel processing to accelerate and scale PostgreSQL performance, spinning up 64 parallel threads to execute queries. The 4.0 version released last ...

Today’s MMO games and location-based services depend on using hard disks to process data from Oracle or Postgres databases. On average, these systems can crunch a few thousand queries per second.

Extending LINQ with integrated computing delivers high-speed, flexible data analysis and accelerates query processing ...