IBM Analytics Engine

Jobs with Spark, Hadoop, or Hive queries are rapidly attained

Can collect, organize and analyze your data accurately

You can customize, for example, Spark or Hadoop configuration settings, or Python, R, Scala, or Java libraries.

I find most of the functions user friendly and most importantly best fits in multi business setup and users easily adapt to the system. Also, you get a lot done in a very short period of time.

Simple to Utilize

Analyzes data with accuracy

Collects data rapidly

Manages data very well with no errors

In the time of huge information investigation, it's insufficient to simply endure – organizations need to rival and separate themselves from the rest. The individuals who can saddle information will be the best and improve their return for money invested from huge information examination. It's critical to look past the stages and rather center around the right-time admittance to information. At the point when utilized effectively, groups from lines of business to the C-suite will flourish by utilizing experiences inferred to better their center activities.