Compromise is tough. I'd like a new car that gets over 50 miles per gallon, with 500 horsepower, comfortably seats 8, fits in a small parking spot, looks great, and costs less than $25,000. Not happening anytime soon.
Big data architects want it all. Efficient, fast, scalable, convenient, innovative, and inexpensive. They may have better options with Hadoop than I do with car buying. While HDFS and Hbase have proven themselves as sound choices for file system and NoSQL database approaches, Kudu is stepping up as a relational database that fits squarely between them.