Euna Budget vs. IBM Analytics Engine

Citizen engagement would be the area where it could be best suited. I don't really see it outside of the public sector but we use it to interact with our clients in the public sector. It helps to be able to show the transparency of engagement of citizens to communicate best with local government agencies.

Incentivized

• 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

• Charts
• Mobility
• Interactive

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

• The search feature could be easier.
• Integration into other tools.
• The guided tours could be more helpful. If I'm nitpicking at this point.

Incentivized

• 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

It's very easy to use and intuitive enough that you can guide yourself through even if you do not have IT on staff to assist you. It's easy to set up and get going in minutes. All you have in front of you to analyze data and present. It's helpful for the customer too.

Incentivized

I haven't had to deal with support much because it's such an easy-to-use product but when I have, they have been very easy to talk to, engage, and resolve our needs quickly. The challenges we had were met over the phone as they walked us through the system.

Incentivized

It stacked up very well. We evaluate at least 3 companies before making software decisions and this one was a clear contender. The map visualization and pop ups are wonderful to be able to visually see what you are discussing in person. These are qualities the rest do not have.

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

• ROI
• Transparency
• Purpose

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