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.

Incentivized

Vizlib helps us make better use of our data and significantly improves our use of Qlik. If you use Qlik Sense, you need Vizlib. It provides charts and functionality that is necessary to visualize and work with data successfully. It does a great job with our data which comes from a variety of systems and files.

• 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.

Incentivized

• 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.

Incentivized

• Performance on large data sets
• Training courses
• Nonprofit pricing

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.

Incentivized

We chose Vizlib because we use Qlik Sense as our main dashboard tool. It is easy to use by our few developers. We are able to build custom visualizations and theme our dashboards with our branding which resonates with our community. Compared to other tools, it is much easier and intuitive to use, because we don’t have to learn coding

• 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.

Incentivized

• Faster time to dashboards and reports
• Improved communication to donors of our key mission metrics
• Better support than from Qlik