The things that I have found of value are those that make database management easier to deal with. I have been using Netezza and Oracle DBA for several years so the big data is a bit of a mind shift for me. The thing that I have found most valuable in this solution is the BIQSQL implementation which is fully SQL ANSI compliant. No retraining is required on the SQL front.

InfoSphere Streams was the one core product from the platform in which we were using. We were building a real-time response system and we built it on InfoSphere Streams.

We evaluated primarily the Text analytics module for social media analysis.

The enterprise-ready technologies and capabilities for text analytic and big data analytic. The easy way to deploy big data solutions into production is a very desirable feature of this product.

It integrates with JSqsh, enabling us to submit long-running exports from the shell. Also, the automated user acceptance testing suite is extremely useful as we can follow through the state of UAT process.

BigSQL – implementation of DB2 Database Partitioning Feature on HDFS cluster – in conjunction with IBM Fluid Query for Netezza.

Watson is the perfect engine for text analysis for us, but in 2014 it doesn’t support the Russian language.