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IBM Analytics When to Use and When Not to Use
May 14, 2018

IBM Analytics When to Use and When Not to Use

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Analytics Engine

We used IBM Analytics Engine for one of the public sector clients who have to deal with massive amounts of data coming from their mobile app and centralized internet web applications. They were previously running a custom solution developed by one of the big fours and were unfortunate enough to have lost a data due to infrastructure failure. The high-level idea was to separate computing and storage and simpler administration of clusters without losing the analytics capabilities.
  • Separation of computing and storage without losing analytics capability
  • Simple and straightforward cluster administration
  • Relatively simpler navigation as compared to the alternatives
  • Business support is not half as good as it should be. Takes a while to provide support to even high priority tickets.
  • Lack of proper documentation on features and how they can be leveraged for maximum ROI.
  • Reduced cost of maintenance and administration of analytics`
  • Improved fail-safe measures for overall application
If you are looking for a relatively cost-effective solution of running extremely powerful analytics without the headache of complex administration and maintenance it generally comes with, IBM Analytics Engine is a worthy option to be considered. It helped our clients cut down the maintenance and administration and had an added advantage reducing data integrity and downtime issue by separation of two fundamental aspects of any web application