IBM Analytics Engine

IBM Analytics Engine

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Score 9.1 out of 100
IBM Analytics Engine

Overview

What is IBM Analytics Engine?

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

Good

9 out of 10
February 01, 2018
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. …
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Great product

10 out of 10
January 26, 2018
I go to California state university, Los Angles for a master in information systems. Our computer science department uses IBM Analytics …
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Pricing

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What is IBM Analytics Engine?

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

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Alternatives Pricing

What is Mathematica?

Wolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

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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 and Ratings

 (38)

Reviews

(1-8 of 8)
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Score 10 out of 10
Vetted Review
Verified User
We have tried the following solutions in the past and I must say they can't compare to IBM Analytics Engine:

Microsoft SQL
Snowflake
Qubole
Hadoop HDFS
Amazon EMR

Most of the process and capabilities that are found in IBM Analytics [Engine] are pretty much a combination of what you can find when you use the above as a combination and not standalone
Ejaz Hussain | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Our data analytics team happened to try IBM Analytics just to get acquainted with it & it turned out that this tool fits our business requirement better than the one which we were using in terms of the features along with the level of support that they provide. so, choosing the tools was a no brainer given IBM's stellar reputation.
Score 9 out of 10
Vetted Review
Verified User
  • Azure HDInsight, AWS Cloud9, Snowflake and Oracle Advanced Analytics
IBM Analytics is a great tool and a welcome addition to your overall IBM strategy. I think in cases of tools like this, you either go with what your platform works best with or you go completely different with a 3rd party, like Snowflake. We are an Azure shop and just happened to have a division on IBM and wanted to give it a try. Performance-wise it stacks up against the other platform-specific tools, so you should feel comfortable when your data strategy tips in favor of needing more organization.
Score 7 out of 10
Vetted Review
Verified User
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
Score 8 out of 10
Vetted Review
Verified User
We did an evaluation of Google Analytics and Microsoft Azure Stream Analytics in comparison to the IBM Analytics Engine product. We choose the product offering from IBM because we felt that for our company, this product offered a more complete and comprehensive package to satisfy our data analytics needs. We also appreciated that this product is coming from IBM, and we have a long-standing partnership with them and they have provided us with many valuable products and services over the years.
Prasanna Nattuthurai | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
  • I have been using Azure for my previous analysis, I had a difficult time in understanding the Analytics engine rather IBM provided step by step tutorial for setup.
  • Also turning off a machine was not an option in Azure for some of the services so I had to pay for the service whether I use it or not
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