Like an RDBMS, wide-column stores use rows, columns, and tables to store data, but unlike relational system, the columns can vary from row to row in the same table in a wide-column store. The column ...

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

To ameliorate the problem of scalability, Apache Cassandra, was created in 2008 as a free and open-source, distributed, wide column store (a NoSQL database that uses tables, rows, and columns ...

NoSQL database technologies (key/value, wide column, document store, and graph) are currently very common in big data and analytics projects. But these products are not designed to be wholesale ...

He also said that column-based relational analytics has gained wider recognition as a process for managing data, especially if it is subsequently fed into business intelligence applications.

With new 'data models' and types of database systems purported to be better than relational, it seems that the industry is all too ready to stick a fork in relational. So, is relational technology ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why.

Column-oriented databases — such as the one built by Stonebraker’s latest start-up, Andover, Mass.-based Vertica Systems Inc. — store data vertically in table columns rather than in ...

How is an event store database different from a relational database? Relational databases can be used to track event, but have certain weaknesses for this use.