We performed a comparison between IBM Watson Explorer and Qlik Sense based on real PeerSpot user reviews.
Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."
"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."
"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."
"Quick reporting."
"Set analysis is great for its power user capabilities such as performing an IF on an aggregated column. The ability to create custom coloring expressions based on values is also a good idea although not as easy as I wished it was."
"It automates recurring processes to save time and money."
"The reports are better looking than in QlikView."
"My organization now has data from disparate systems at their fingertips in a way that lets them get the answers they need when they want it."
"Qlik Sense is much more user-friendly and easier to read then QlikView."
"It connects very simply to data sources."
"We can generate various graphs, various reports and we can mainly use it for dashboard related things. We can create a dashboard with live data and we can make decisions based on this information,"
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."
"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."
"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"
"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"
"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."
"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."
"The solution is expensive."
"More focus needs to be on data streaming/real-time data reporting."
"Reload failure alerts on the application within the Qlik Management Console without any use of extensions. QlikView is able to handle these alerts directly through the QlikView Management Console. We would appreciate a similar solution that is easy to set up and use. Simple formatting options in the pivot and straight tables such as adjusting line thickness and font selection and size."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
"It's going to take 20 to 30 minutes to refresh sometimes."
"The only thing I would like to see is the ability to create a master app that opens when a user creates a new app that has all the master items, colors, logos, etc., that my organization uses. This would help with keeping master items the same across the apps and would make development a little quicker."
"Mostly when it comes to the loading of the data and reload times of the reports, it could be better."
"Possibly offering some more basic, simpler templates."
"There is room for improvement in the learning curve when getting started, but training resources have been growing."
Earn 20 points
IBM Watson Explorer is ranked 9th in Data Mining while Qlik Sense is ranked 2nd in Data Visualization with 112 reviews. IBM Watson Explorer is rated 8.4, while Qlik Sense is rated 8.6. The top reviewer of IBM Watson Explorer writes "Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them". On the other hand, the top reviewer of Qlik Sense writes "Customizable with good ROI and a quick learning curve". IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI and Tableau, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx. See our IBM Watson Explorer vs. Qlik Sense report.
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