IBM Analytics - A Must Try Analytics Tool
January 14, 2021

IBM Analytics - A Must Try Analytics Tool

Ejaz Hussain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with IBM Analytics Engine

We have recently started utilizing IBM Analytics & so far it has been a good experience. Our Data Intelligence team along with the DevOps team makes use of this tool as they deal with an enormous amount of data on a daily basis. The majority use it analyze the overall performance of all the applications related to Hadoop by gauging the datasets & check for any inconsistency in their behavior.
  • Easy-to-use User interface with featured pack functionalities.
  • Scalable & customizable according to user needs.
  • Powerful yet simple cluster administration.
  • Affordable Pricing.
  • Could improve upon step-by-step instructions & make it more comprehensive.
  • Can be more prompt with their customer service.
  • Could come up with an e learning module for using the tool.
  • Saved considerable amount of time dealing with clustering & its administration.
  • Seamless & faster processing time helped us increasing ROI in return.
  • Decreases the need of relying on multiple tools for data analytics.
Our data analytics team happened to try IBM Analytics just to get acquainted with it & it turned out that this tool fits our business requirement better than the one which we were using in terms of the features along with the level of support that they provide. so, choosing the tools was a no brainer given IBM's stellar reputation.

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IBM Analytics is more suited to an environment where there is big data or a large volume of data coming in from different sources. For those who are already on IBM Cloud Engine, they can leverage the maximum out of IBM Analytics Engine. Systems with Hadoop & Spark applications should go with this tool.