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IBM Analytics Engine

Score7.2 out of 10

39 Reviews and Ratings

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What is IBM Analytics Engine?

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

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Reviews

What users are saying about IBM Analytics Engine.
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IBM Analytics - A Must Try Analytics Tool

Incentivized
Ejaz HussainView profile
Senior Analyst in Information Technology at Virtusa (10,001+ employees employees)

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.

Return on Investment

  • Saved considerable amount of time dealing with clustering & its administration.
  • Seamless & faster processing time helped us increasing ROI in return.
  • Decreases the need of relying on multiple tools for data analytics.

Alternatives Considered

Google Analytics

Other Software Used

Automation Anywhere, Jupyter Notebook

Analytics Engine in Big Data

Incentivized
Prasanna Nattuthurai
Graduate Assistant in Information Technology at California State University-Los Angeles (1001-5000 employees employees)

Pros

  • Simple to implement
  • Good support from IBM
  • Easy to use
  • Widely used for Big data implementation

Cons

  • 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 Since we are doing this for master level research all the students faced an issue when there was a MIGRATION to a newer version of the analytical engine, which doesn't let us take cmd line.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.

Return on Investment

  • This is a research project so nonprofit, but its easy to use and teach others

Alternatives Considered

Microsoft Azure HDInsight

Other Software Used

IBM Watson Analytics

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

Incentivized
Verified User
Director in Professional Services (11-50 employees employees)

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.

Most Important Features

  • Simple to Utilize
  • Analyzes data with accuracy
  • Collects data rapidly
  • Manages data very well with no errors

Return on Investment

  • In the time of huge information investigation, it's insufficient to simply endure – organizations need to rival and separate themselves from the rest. The individuals who can saddle information will be the best and improve their return for money invested from huge information examination. It's critical to look past the stages and rather center around the right-time admittance to information. At the point when utilized effectively, groups from lines of business to the C-suite will flourish by utilizing experiences inferred to better their center activities.

Other Software Used

Google BigQuery, Amazon EMR (Elastic MapReduce), Snowflake

IBM Analytics Engine even lets you to analyze your analytics.

Incentivized
Verified User
Manager in Finance and Accounting (10,001+ employees employees)

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.

Return on Investment

  • It has saved us quite a bit of time managing our catalog of clusters and keeping things organized.
  • Since we had a division we acquired running IBM Cloud, it was easy to get it running and try it out, but we found we prefer our Azure configuration better simply to keep our technology in alignment across corporate functions.
  • I definitely see some cost savings by separating out the storage and compute. It helps you start to put an appropriate price tag on certain instances of big data.

Alternatives Considered

Azure HDInsight, AWS Cloud9, Snowflake and Oracle Advanced Analytics

Other Software Used

Oracle Advanced Analytics, Snowflake, Salesforce Analytics Cloud, Google Maps API, MapAnything, MapAnything Live, Google Ads (formerly AdWords), Google Ad Manager, Google Analytics, Google Analytics Premium, Google BigQuery, Google Forms, Google Tag Manager, Azure DNS, Microsoft 365 Business, Microsoft Access, Microsoft Azure Machine Learning Workbench, Microsoft Network Monitor, Microsoft R (formerly Revolution R), Microsoft Silverlight, Dropbox, Dropbox Business, Google Drive, Alteryx Connect, Alteryx Analytics, Alteryx Analytics Gallery, SQL Server Business Intelligence Manager, SQL Server Integration Services, Microsoft SQL Server

IBM Analytics Engine: paving the way for easier administration

Incentivized
Verified User
Consultant in Information Technology (51-200 employees employees)

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

Return on Investment

  • 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.

Alternatives Considered

Apache Spark and Google BigQuery