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."The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"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."
"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."
"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."
"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."
"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."
"It is very easy to use, and the Qlik data engine has been able to handle everything we have thrown at it."
"This solution has improved our organization by making our analysis results available to customers."
"The ETL component allows us to pull from many different sources, making pulling data in easy."
"Quick reporting."
"The product has many great features like easy and fast implementation, flexible data loading, and in-memory processing, but the Set Analysis is what I think is the most valuable. It makes the product very powerful."
"Qlik Sense helps us increase our organization's customer relationships and brings in more projects."
"The ability to access data from multiple sources in one application. This has been invaluable."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"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."
"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."
"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."
"The solution is expensive."
"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"
"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"
"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."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"Needs more bookmarking and a data load screen."
"It's going to take 20 to 30 minutes to refresh sometimes."
"The navigation is quite clunky and outdated."
"More options for the layout."
"There is room for improvement in the storytelling mode and the report sharing. Qlik Sense also does not have a subscription base like Power BI. So a lot of the analysis is housed in community pages that are managed by either the author or a database administrator, or whoever the Qlik Sense manager is there."
"Multi-server deployment: not just cloud, but on premise too, and hybrid. Needs lighter protocols to communicate between the different services and with the clients."
"Error handling is an area that needs to be improved."
"If a team wants to keep track of source code changes, there is not an out-of-the-box solution for it."
Earn 20 points
IBM Watson Explorer is ranked 9th in Data Mining while Qlik Sense is ranked 2nd in Data Visualization with 114 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 Amazon QuickSight, Tableau, Apache Superset, Microsoft Power BI and Alteryx. See our IBM Watson Explorer vs. Qlik Sense report.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
