Analytics Engine in Big Data | TrustRadius

Overall Satisfaction with IBM Analytics Engine

Use Cases and Deployment Scope

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.

Pros and Cons

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 Since we are doing this for master level research all the students faced an issue when there was a MIGRATION to a newer version of the analytical engine, which doesn't let us take cmd line.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

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

Other Software Used

IBM Watson Analytics

Likelihood to Recommend

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.

Comments

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