IBM Analytics Engine

IBM Analytics Engine Reviews

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Ratings and Reviews
(1-9 of 9)

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Score 10 out of 10
Vetted Review
Verified User
Review Source
  • 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.
Ejaz Hussain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • 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.
Prasanna Nattuthurai | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Simple to implement
  • Good support from IBM
  • Easy to use
  • Widely used for Big data implementation
  • Even for L4 level support, assistance could have been more prompt. Since we are doing this for master level research all the students faced an issue when there was a MIGRATION to a newer version of the analytical engine, which doesn't let us take cmd line.
  • The explanation was not clear enough when a problem is resolved followed by a service request. Apart from being confidential, it's better for the students to understand why an issue occurs and what steps were take to resolve it.
Score 9 out of 10
Vetted Review
Verified User
Review Source
  • It’s easy to integrate if you are already on IBM cloud, and even if you are not you can still explore the whole package with their free Lite plan and some service credits they offer.
  • Unlimited clusters without any performance degradation is a nice selling point. The smaller cluster size seems to work since it is only the computer, and not mixed with storage.
  • The connection to Watson Studio helps manage your jobs as you submit them to the cluster, and this is a nice easy relationship with Analytics Engine.
  • Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
  • Bundling of the Cloud Object Storage should be included with the Analytics Engine.
  • The inability to add your own Hadoop stack components has made some transfers a little more complex.
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • Ease of use / user interface
  • Reasonable pricing
  • Ability to build and deploy clusters very quickly... within minutes
  • 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
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • We are able to build and deploy clusters within minutes to simplify user experience and increase scalability and reliability.
  • We are able to scale and compute on-demand to handle newer workloads like machine learning.
  • We really like that we are able to access and administer the application via multiple interfaces.
  • Some of the documentation can be overwhelming and very technical. We would love to have some documentation written for non-technical people.
  • We would like to see better communication from IBM regarding upgrades and patching cycles of the product.
  • The learning curve for this product is steep. This is definitely not a product that will be used right out of the box.
Score 7 out of 10
Vetted Review
Verified User
Review Source
  • 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.
January 26, 2018

Great product

Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Compact clusters. Via the trial versions that I use, I have a great insight of how different organizations create clusters and manage data
  • Fast: the load time at registration is a bit slow. But after creating the first cluster, everything went way faster
  • Realistic: hands on experience
  • Reasonable cost
  • Lagging at some point. Inconsistency in maintaining and running clusters.
  • Should allow the cluster to last longer before refreshing
  • It’s a bit confusing to navigate through the site. Sometime I thought I hit the right section then it lead me to another one.
  • The log in page is inconsistent. I could find 3 different IBM log in page via Google. And then have to click many things that will lead to where I want.
February 01, 2018

Good

Score 9 out of 10
Vetted Review
Verified User
Review Source
  • easy use of interface
  • clear instructions of where everything is
  • the two week use of nodes
  • some feature updates without clear instructions
  • better online help

IBM Analytics Engine Scorecard Summary

What is IBM Analytics Engine?

IBM Analytics Engine is a Hadoop and Spark service allowing users to rapidly build and deploy analytics applications.

IBM Analytics Engine Pricing

IBM Analytics Engine Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

What is IBM Analytics Engine?

IBM BigInsights is an analytics and data visualization tool leveraging hadoop.

Who uses IBM Analytics Engine?

The most common users of IBM Analytics Engine are from Enterprises and the Information Technology & Services industry.