IBM Analytics Engine: paving the way for easier administration
February 09, 2019
IBM Analytics Engine: paving the way for easier administration
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Analytics Engine
As far as I know, we are the only department in our rather large organization that is currently using the IBM Analytics Engine. We needed a relatively low-cost solution to perform analysis without a huge amount of maintenance or upkeep required. It also allowed us to perform tasks we did not foresee, such as analyze data across multiple applications.
Pros
- Ease of use / user interface
- Reasonable pricing
- Ability to build and deploy clusters very quickly... within minutes
Cons
- I would like to see a more robust version of their online help
- The speed of their business support is adequate, but I kind of expect more from such a powerhouse.
- Problems with duration of cluster life
- The cost to implement was definitely a plus when it came to choosing the IBM Analytics Engine.
- While sufficient, the overall support received from IBM was less than that for which we had planned.
- We were able to separate storage and computing while paving the way for easier cluster administration.
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
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