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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

Analytics Engine in Big Data

Rating: 8 out of 10
February 1, 2018
IncentivizedVetted ReviewVerified User
We used it for a research project to implement big data analysis on a YELP dataset from 2017 to answer a sales related question. We used the default Ambari file browser to upl...
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Prasanna Nattuthurai
Analyst - Information Technology
Graduate Assistant
California State University-Los Angeles
IBM Analytics Engine1 year 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

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(1-5 of 9)

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: 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 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 Engine is the Engine to Move our Data Analytics Forward

Rating: 8 out of 10
Incentivized
December 31, 2018
Verified User
Professional in Information Technology
Financial Services Company, 10,001+ employees
Vetted Review
Verified User
IBM Analytics Engine
2 years of experience
Use Cases and Deployment Scope
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 performance and reliability. This data allows us to ensure that we are delivering the best possible application performance to our customers and business partners across all channels.
Pros
  • 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.
Cons
  • 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.
Likelihood to Recommend
I think the IBM Analytics Engine is well suited for large corporations looking to increase their analytics game. This is truly an Enterprise product that can capture data across multiple workflows to help a business grab a hold of what's going on with their data. I don't feel that the IBM Analytics Engine is well-suited for smaller companies. The complexity is just to large to roll-out to a company that might not need all the power of this product.

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

Rating: 10 out of 10
Incentivized
April 29, 2021
Verified User
Director in Professional Services
Executive Office Company, 11-50 employees
Vetted Review
Verified User
IBM Analytics Engine
1 year of experience
Use Cases and Deployment Scope
We use [IBM Analytics] to provision, manage, run and retire Apache Hadoop and Apache Spark clusters. With its calculation engine, this enterprise performance management solution helps the users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results. We use it to unify data sources into one single repository, because it enables users to build sophisticated, multidimensional models that drive forecasts. So far we haven't had any problems with the software.
Pros
  • 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.
Cons
  • 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.
Likelihood to Recommend
We are at present utilizing IBM Analytics Engine and it works incredible. Following are the things that I like the most about this product is:-

- Simple to Utilize

- Reasonable Cost

- With only a couple seconds you can ready to fabricate and convey groups

- you can without much of a stretch break down information through different applications
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