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IBM BigInsights is an analytics and data visualization tool leveraging hadoop.IBM Analytics Engine: paving the way for easier administrationAs 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.,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,7,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.,Apache Spark and Google BigQueryIBM Analytics Engine is the Engine to Move our Data Analytics ForwardIBM 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.,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.,8,This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place. IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI. The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.,Google Analytics and Microsoft Azure Stream Analytics,IBM Db2 on Cloud, IBM API Management, IBM Cloud Activity TrackerIBM Analytics When to Use and When Not to UseWe 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.,7,Reduced cost of maintenance and administration of analytics` Improved fail-safe measures for overall application,Hortonworks Data Platform, Apache Spark, Tableau Desktop and Tableau OnlineAnalytics Engine in Big DataWe 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 upload the data, Hadoop ecosystem for data cleaning, Hive to query the dataset followed by TABLEAU for visualization.,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.,8,This is a research project so nonprofit, but its easy to use and teach others,Microsoft Azure HDInsight,IBM Watson AnalyticsGreat productI go to California state university, Los Angles for a master in information systems. Our computer science department uses IBM Analytics Engine along with the students to give them hands on experience with a real time tool. It works pretty great. I used IBM Analytics Engine to learn about Hadoop and soon will learn about Spark SQL and so on.,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.,10,Increasing learning success. My class and I were able to practice real tools The only downsize is without the school, it would be unaffordable to use the tools,
  3. IBM Analytics Engine Reviews
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IBM Analytics Engine
22 Ratings
Score 8.0 out of 101
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IBM Analytics Engine Reviews

IBM Analytics Engine
22 Ratings
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Score 8.0 out of 101
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February 09, 2019

Review: "IBM Analytics Engine: paving the way for easier administration"

Verified User
Score 7 out of 10
Vetted Review
Verified User
Review Source
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.
  • 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
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.
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December 31, 2018

Review: "IBM Analytics Engine is the Engine to Move our Data Analytics Forward"

Verified User
Score 8 out of 10
Vetted Review
Verified User
Review Source
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.
  • 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.
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.
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May 14, 2018

IBM Analytics Engine Review: "IBM Analytics When to Use and When Not to Use"

Verified User
Score 7 out of 10
Vetted Review
Verified User
Review Source
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.
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
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Prasanna Nattuthurai profile photo
February 01, 2018

IBM Analytics Engine Review: "Analytics Engine in Big Data"

Prasanna Nattuthurai
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • 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 upload the data, Hadoop ecosystem for data cleaning, Hive to query the dataset followed by TABLEAU for visualization.
  • 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.
  • Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
  • But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
Read Prasanna Nattuthurai's full review
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January 26, 2018

IBM Analytics Engine Review: "Great product"

Verified User
Score 10 out of 10
Vetted Review
Verified User
Review Source
I go to California state university, Los Angles for a master in information systems. Our computer science department uses IBM Analytics Engine along with the students to give them hands on experience with a real time tool. It works pretty great. I used IBM Analytics Engine to learn about Hadoop and soon will learn about Spark SQL and so on.
  • 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.
In my case, it’s very nice to be able to use the service for education at an affordable price.
Read this authenticated review
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February 01, 2018

IBM Analytics Engine Review: "Good"

Verified User
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
  • 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
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.
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IBM Analytics Engine Scorecard Summary

Likelihood to Recommend (22)
8.0

About IBM Analytics Engine

IBM Analytics Engine is a Hadoop and Spark service allowing users to rapidly build and deploy analytics applications.
Categories:  Data Discovery and Visualization,  Hadoop-Related

IBM Analytics Engine Technical Details

Operating Systems: Unspecified
Mobile Application:No