Aside from the general overall expense of the product I'm routinely amazed at how many features other DBMS's I've used (DB2, MSSQL, MySQL, PostGres) are either missing or syntactically difficult to understand.
While attending HP’s Discover event (disclosure – HP covered some of my expenses for attending the event) in Frankfurt in December I was invited to take part in an interview alongside fellow Antipodean Paul Muller.
We love to work with latest big data technologies. Currently, our favorite open-source tools are the NoSQL database mongoDB, the Hadoop framework for distributed computing and data storage, and the statistical software R.
If you have delved into Apache Hadoop and related projects, you know that installing and configuring Hadoop is hard. Often, a minor mistake during installation or configuration with messy tarballs will lurk for a long time until some otherwise innocuous change to the system or workload causes difficulties.
"I’m a support manager at Cloudera, and an Apache Sqoop committer and PMC member. I also contribute to the Apache Flume and Apache ZooKeeper mailing lists and organize and present at meetups, as well as speak at conferences, about those projects."