IBM Analytics Engine vs. Lightning Tools Data Viewer

• 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

Lightning Tools Data Viewer is well suited for re-surfacing data and customizing its look and feel.

• 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

• Shows Lists created on different sites to be seen and controlled on another site in a Tenant
• Allows selection of layouts and coloring way beyond what other programs do.
• Easy to learn and very functional.

• 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

• Data Viewer has a graph feature that is old school flat design. We loved the In House real 3D graph Lightning Tools program.

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

Lightning Tools Data Viewer is much easier and more powerful than Infowise similar viewer in their lineup. In this case, we use Data Viewer over the one offered by Infowise.

• 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

• It allows us to do things that would take a great deal more time to duplicate in SharePoint
• It cuts down on ugly looking built in SP list layouts
• Users find it easy to access, thus this product is more productive