Comparing the IBM PureData System with Hadoop Implementations

The speed and scope of the business decision-making process is evolving because of several emerging technology trends – Cloud, Analytics, Social, Mobile and the Internet of Things (IoT). These data-intensive trends require high-performance distributed systems to deliver actionable insights. For this, Hadoop clusters are increasingly being used.

But rising IT costs (labor, energy, and facilities) have become the Achilles heel in deploying and operating Hadoop clusters at many organizations. In addition, data security and lack of skilled resources are major issues. To meet these challenges, organizations must deploy a cost-effective, easy-to-use, high-performance, reliable and agile IT solution to deliver the best business outcomes

Included in this analysis:

• A look at SQL on distributed systems
• IBM PureData features and applications
• 6 important IT costs and 3 business costs considered