IBM Analytics Engine vs. Powerslide

• 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

It has allowed us as an organization to clearly deliver our numbers to our collaborators, but above all to the heads of our teams and company. Not being entirely professional, it is easy to use for someone who does not understand the function of these numbers or hard data.

Incentivized

• 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

• Collaborative fractures helped a lot.
• Dashboards are really unique.

• 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

• Increase the variety of fonts
• Make templates less serious or business

Incentivized

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

Powerslide stands out for having templates that help you easily organize hard data and more delicate information such as numbers and statistics. By having many ways to present and edit it in one place, it makes this a page with variety and empathy with its user.

Incentivized

• 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

• Our collaborators do not get bored in meetings and even if it is a lot of information, seeing it in an interesting design makes them pay attention and like to be informed of the numbers they manage to obtain with their work.

Incentivized