IBM Analytics Engine vs. Vizlib

• 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.

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I have read reviews where Vizlib is performing well. That was not our experience integrating Vizlib with Qlik Sense cloud as a write back capability. So, my experience is that integrating Vizlib with Qlik Sense cloud as a write back capability is probably not an area where they perform well

• 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.

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• Visualizations
• Forecasting
• Storytelling

• 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.

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• Vizlib promised a writeback capability that it just was not able to deliver. We bought additional developer licenses for QlikSense that were not planned in the initial Vizlib discussions, but even with they were not able to implement a writeback capability.
• I feel Support was horrible... very slow, and with inadequate expertise.

We have figured out how to use Vizlib features on our own on many occasions. Whenever we do run into questions, the support team is very helpful and able to help us figure out how to do things quickly. I feel features are more advanced, but we know the depth is there when we’re ready to use it

Vizlib support is awesome! We have quick turnaround times and regular updates when we open cases. It’s so good we often ask them Qlik Sense questions, rather than going to Qlik support

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.

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Independently Invited by TrustRadius

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I selected Vizlib based on several positive Qlik community forum comments. It would seem that they had a different use case than we did

• 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.

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Invited by TrustRadius (TR) on Vendor's Behalf

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• We have had a negative experience with Vizlib... we paid for a capability that wasn't delivered, and that cost us time that could have been better spend on other priorities. Negative ROI.