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IBM Analytics Engine

IBM Analytics Engine

Overview

What is IBM Analytics Engine?

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

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Learn from top reviewers

User friendly platform that allows you to easily analyze your Data Analytics

Rating: 10 out of 10
April 29, 2021
IncentivizedVetted ReviewVerified User
We use [IBM Analytics] to provision, manage, run and retire Apache Hadoop and Apache Spark clusters. With its calculation engine, this enterprise performance management solut...
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Verified user
Director
IBM Analytics Engine1 year of experience

IBM Analytics - A Must Try Analytics Tool

Rating: 8 out of 10
January 14, 2021
IncentivizedVetted ReviewVerified User
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 th...
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Ejaz Hussain
Professional - Information Technology
Senior Analyst
Virtusa
IBM Analytics Engine1 year of experience
Verified on LinkedIn

IBM Analytics Engine even lets you to analyze your analytics.

Rating: 9 out of 10
March 8, 2019
IncentivizedVetted ReviewVerified User
We have just begun to explore very large data sets and gave the IBM Analytics Engine a test to see how it would work for us. We were quite surprised at how complete and easy i...
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Verified user
Manager
IBM Analytics Engine1 year of experience

IBM Analytics Engine: paving the way for easier administration

Rating: 7 out of 10
February 9, 2019
IncentivizedVetted ReviewVerified User
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 per...
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Verified user
Consultant
IBM Analytics Engine2 years of experience

IBM Analytics Engine is the Engine to Move our Data Analytics Forward

Rating: 8 out of 10
December 31, 2018
IncentivizedVetted ReviewVerified User
IBM Analytics Engine is being used by my organization to analyze our data across multiple applications. We use it primarily to gather data to be used to analyze application pe...
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Verified user
Professional
IBM Analytics Engine2 years of experience
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Product Demos

2 IBM Analytics Engine View Instance Details

YouTube

3 IBM Analytics Engine - Enabling logging using - "platform logs" Log Analysis Instance

YouTube
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Product Details

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 Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews From Top Reviewers

View all reviews
(1-5 of 7)

Good

Rating: 9 out of 10
Incentivized
February 01, 2018
Verified User
Contributor in Information Technology
Computer Networking Company, 10,001+ employees
Vetted Review
Verified User
IBM Analytics Engine
1 year of experience
Use Cases and Deployment Scope
It was used by my department only. It helped to analyze our program outcome throughout the 6 months that I was working with that program. It was really helpful, and shortened our analysis procedure by a lot. Moreover, it saved the company a lot of labor and time.
Pros
  • easy use of interface
  • clear instructions of where everything is
Cons
  • the two week use of nodes
  • some feature updates without clear instructions
  • better online help
Likelihood to Recommend
It is pretty good for my work, but it might not be useful for all programmers, even in my company. Also users needs to understand it pretty well before using it. Instructions for how to use it is probably helpful for users who have never used it or heard about it.

IBM Analytics Engine: paving the way for easier administration

Rating: 7 out of 10
Incentivized
February 09, 2019
Verified User
Consultant in Information Technology
Information Technology and Services Company, 51-200 employees
Vetted Review
Verified User
IBM Analytics Engine
2 years of experience
Use Cases and Deployment Scope
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
Likelihood to Recommend
The IBM Analytics Engine is particularly well-suited for situations in which you are required to analyze data from a myriad of sources. The drill-down capabilities make this a very powerful tool, but the implementation of large-scale projects requires watching the tutorials first, in our opinion. It is nice that they offer a free trial version so that you can test limited features first.

IBM Analytics When to Use and When Not to Use

Rating: 7 out of 10
Incentivized
May 14, 2018
Verified User
Consultant in Professional Services
Computer Software Company, 1001-5000 employees
Vetted Review
Verified User
IBM Analytics Engine
2 years of experience
Use Cases and Deployment Scope
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.
Pros
  • Separation of computing and storage without losing analytics capability
  • Simple and straightforward cluster administration
  • Relatively simpler navigation as compared to the alternatives
Cons
  • 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.
Likelihood to Recommend
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

IBM Analytics Engine even lets you to analyze your analytics.

Rating: 9 out of 10
Incentivized
March 08, 2019
Verified User
Manager in Finance and Accounting
Consumer Goods Company, 10,001+ employees
Vetted Review
Verified User
IBM Analytics Engine
1 year of experience
Use Cases and Deployment Scope
We have just begun to explore very large data sets and gave the IBM Analytics Engine a test to see how it would work for us. We were quite surprised at how complete and easy it was to set up and manage multiple Spark and Hadoop clusters. The separation of computing and storage really drives the performance up and gives you a better architecture with which to manage your overall big data plans.
Pros
  • 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.
Cons
  • 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.
Likelihood to Recommend
IBM Analytics Engine works well for managing and running multiple clusters, keeping them organized and monitoring your budget better by separating out the computer costs from the storage costs. It’s only a good option if you are already working within IBM Cloud, if you are an Azure or AWS shop, you have better options within those subscriptions for both price and performance. Also, if you don’t have much in Hadoop or Spark clusters, the features this tool offers only add incremental value to how you were managing it before.

IBM Analytics - A Must Try Analytics Tool

Rating: 8 out of 10
Incentivized
January 14, 2021
Use Cases and Deployment Scope
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.
Pros
  • Easy-to-use User interface with featured pack functionalities.
  • Scalable & customizable according to user needs.
  • Powerful yet simple cluster administration.
  • Affordable Pricing.
Cons
  • 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.
Likelihood to Recommend
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.
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