Compare IBM Watson Explorer vs. QlikView

IBM Watson Explorer is ranked 14th in Business Intelligence (BI) Tools with 9 reviews while QlikView is ranked 12th in Business Intelligence (BI) Tools with 9 reviews. IBM Watson Explorer is rated 8.2, while QlikView is rated 8.6. The top reviewer of IBM Watson Explorer writes "Facilitates utilizing data streams that we haven't tapped into, and producing results that are tremendously useful, company-wide". On the other hand, the top reviewer of QlikView writes "In-memory feature gives us better insights, and drill-down is easy". IBM Watson Explorer is most compared with SAS Analytics, IBM SPSS Modeler and IBM Cognos, whereas QlikView is most compared with Microsoft BI, Tableau and Oracle OBIEE. See our IBM Watson Explorer vs. QlikView report.
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IBM Watson Explorer Logo
1,424 views|700 comparisons
QlikView Logo
17,646 views|13,844 comparisons
Most Helpful Review
Find out what your peers are saying about IBM Watson Explorer vs. QlikView and other solutions. Updated: November 2019.
383,162 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
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.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.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.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.

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This is a very cool application with endless options of creativity and visuals.On the positive side, QlikView's scripting is a great asset as it functions as an ETL.This solution has simplified getting to and understanding our data, no matter where it is housed.It's pretty easy to deploy.The initial setup is not very complex.You can do a lot of things on the back end which are not possible in the other solutions on the market.I had the option to prepare data myself instead of always having to depend on the data team.Scripting as per a customer's need, which is a pretty cool feature and not available in other tools.

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Cons
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 dictionaryIt needs better language support, to include some other languages. Also, they should improve the user interface.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.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.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 themselvesSmall 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.

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I really wish the application was easier to use in the development phase.If a user wanted to see something not included in the application the new object had to be created by a power user or developer because Qlik view's scripting has somewhat of a learning curve.This solution would be improved with the inclusion of a feature that would allow us to add a common library of (our) commands used in load scripts and expressions, so with a keyword, we would get a drop down to select the command we are looking for, as opposed to the generic help.I would want them to have more options as a user. It would be nice for them to create their own dashboards and add fields.The pricing is high.It needs work with visualization.Needs improvement with UI transparency.More/newer visualisation components need to be added.

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Pricing and Cost Advice
Information Not Available
It is not very expensive. I think it it is on par with other similar products on the market.The pricing is too high compared to the other solutions on the market.Qlik is fairly high in terms of pricing.

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Ranking
Views
1,424
Comparisons
700
Reviews
9
Average Words per Review
477
Avg. Rating
8.1
Views
17,646
Comparisons
13,844
Reviews
8
Average Words per Review
321
Avg. Rating
8.5
Top Comparisons
Compared 28% of the time.
Compared 15% of the time.
Compared 14% of the time.
Compared 9% of the time.
Compared 9% of the time.
Also Known As
IBM WEX
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IBM
Qlik
Overview

IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

QlikView is a Business Intelligence tool that allows you to keep tabs on all of your business-related information in a clean, clear, and easy to access database that is intuitive to build and simple to navigate. It is ideal for business owners who wish to improve overall output by creating the most productive system possible.

Offer
Learn more about IBM Watson Explorer
Learn more about QlikView
Sample Customers
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda Canon, Gatorade, Amcor, Panasonic, Fila, Cambridge University Hospitals, Global Retail Bank, North Yorkshire Police department, Lanoo Group Publishers, and AonGroep Nederland.
Top Industries
No Data Available
REVIEWERS
Financial Services Firm18%
Manufacturing Company11%
Energy/Utilities Company6%
Insurance Company6%
VISITORS READING REVIEWS
Software R&D Company22%
Financial Services Firm18%
Comms Service Provider10%
Manufacturing Company6%
Company Size
REVIEWERS
Small Business20%
Midsize Enterprise20%
Large Enterprise60%
REVIEWERS
Small Business35%
Midsize Enterprise21%
Large Enterprise44%
VISITORS READING REVIEWS
Small Business25%
Midsize Enterprise9%
Large Enterprise66%
Find out what your peers are saying about IBM Watson Explorer vs. QlikView and other solutions. Updated: November 2019.
383,162 professionals have used our research since 2012.
We monitor all Business Intelligence (BI) Tools 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.
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