This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What are wide column stores? Wide column stores are database management systems ...

Database sizes have grown exponentially, with more than half of all databases in use globally projected to exceed 10TB by 2010, according to The Data Warehouse Institute. But as the size of data ...

Database start-up Vertica is set to release its column-oriented database optimized for business intelligence queries. Database start-up Vertica on Tuesday publicly launched its column-oriented ...

MemSQL, a distributor of in-memory database technology for real-time analytics, has introduced MemSQL v3.0. which combines an in-memory row store with a new highly compressed column store. The ...

The rise of in-memory computing has set the stage for the convergence of transactional and analytics applications within the same platform. MemSQL is taking organizations a step closer to achieving ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

The performance of the full table scan is critical for the overall performance of column-store database systems such as the SAP HANA database. Compressing the underlying column data format is both an ...

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning ...

When Teradata bought Aster Data in 2011, it set out on a quest to bring (then) esoteric Big Data technology to the relational database faithful. Specifically, Aster's SQL-MapReduce facility allowed ...