IBM Analytics Engine vs. InetSoft Style Intelligence

We are at present utilizing IBM Analytics Engine and it works incredible. Following are the things that I like the most about this product is:- - Simple to Utilize - Reasonable Cost - With only a couple seconds you can ready to fabricate and convey groups - you can without much of a stretch break down information through different applications

Incentivized

In my experience, InetSoft has been very useful in consolidating, visualizing, and democratizing data. It has helped me in many projects, especially given my role as a growth analytics and market insights specialist. Can't really think of scenarios where it is less appropriate.

Incentivized

• We are able to build and deploy clusters within minutes to simplify user experience and increase scalability and reliability.
• We are able to scale and compute on-demand to handle newer workloads like machine learning.
• We really like that we are able to access and administer the application via multiple interfaces.

Incentivized

• Easy to use with a very user-friendly interface, making onboarding with the tool a lot easier.
• Able to mash up/integrate data from different sources and file types which helps a lot with consolidation.
• Good customer service/support that makes solving problems/issues a lot faster.

Incentivized

• I would like to see a more robust version of their online help
• The speed of their business support is adequate, but I kind of expect more from such a powerhouse.
• Problems with duration of cluster life

Incentivized

• I think the user interface is in need of an upgrade, as its starting to show it's age a little. It looks like it needs a rehaul in the department.
• Hopefully, the company can grow and then have more frequent interactions with their customers.
• I am slightly wary that support may not have the same proficiency at the very highest level, as my company reaches the expert user level.

Incentivized

• I have been using Azure for my previous analysis, I had a difficult time in understanding the Analytics engine rather IBM provided step by step tutorial for setup.
• Also turning off a machine was not an option in Azure for some of the services so I had to pay for the service whether I use it or not

Incentivized

We found that InetSoft Style Intelligence was easier to use and provided more enhanced functionality and more visibility in terms of visualizing information and data. During the proof of concept trials, we found that the dashboards were easier to create and the overall usage and the GUI were simpler, cleaner, more user friendly. Our product license costs were also cheaper.

Incentivized

• It has saved us quite a bit of time managing our catalog of clusters and keeping things organized.
• Since we had a division we acquired running IBM Cloud, it was easy to get it running and try it out, but we found we prefer our Azure configuration better simply to keep our technology in alignment across corporate functions.
• I definitely see some cost savings by separating out the storage and compute. It helps you start to put an appropriate price tag on certain instances of big data.

Incentivized

• Reduction in excessive space for data storage repositories
• Faster time to analyse data and metadata. Quicker to reach objective analysis
• Conclusive informational reporting

Incentivized