Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...

As the amount of data collected by enterprises continues to grow at a rate of 40 percent to 60 percent per year, IT teams face challenges managing the vast amounts of information under their watch. To ...

Increasing data requirements, especially the unstructured information such as video, are going to relegate relational databases to the enterprise scrap heap as an emerging breed of vendors chips away ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...

Google launched a public beta for a new global database service that features both the consistency of the relational model and the scaling and data functionality of NoSQL offerings. Called Cloud ...

Hadoop adoption is picking up as more unstructured data flows into the enterprise arena, but its rising importance will not relegate traditional relational database management systems (RDBMS)to the ...

Users who eschew traditional relational databases in favor of the newly emerging NoSQL databases might be “throwing the baby out with the bath water,” warned a database pioneer before a roomful of ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...