We performed a comparison between IBM Watson Explorer and TIBCO Spotfire 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."
"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."
"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."
"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."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"The two features that I have found most valuable are its ability to customize the dashboards when it comes to the evaluation. The second feature is its ability to handle a large amount of data, which is also something very unique about it."
"The most valuable feature is the map visuals that help us connect to the geo-specialized data which is more advanced than other solutions."
"Spotfire is excellent for scientific applications, especially because of its integration with RNG."
"The solution is an affordable one."
"The product's initial setup phase was simple."
"The ability to connect to many different data sources is one of the key features. The other would then be the different ways in which that data can be visualized."
"The out-of-the-box features are simple and easy to use across the board."
"One of the main features is integrated statistical analysis."
"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"
"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."
"The solution is expensive."
"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."
"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."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"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."
"Print capability and trigger-based events."
"We would like an easier way to get the product to the cloud. Right now, we have the on-premise version, and we would like to find a way to make it easier to migrate it over to the cloud."
"The way TIBCO Spotfire is designed, in my opinion, is the reason why it lags a bit, especially compared to other BI tools like Qlik."
"The design of the UI could be improved."
"The number of charts available out of the box in Spotfire can be enhanced."
"When you do the data loading, it is slow."
"The initial setup of TIBCO Spotfire is in the middle range of difficulty. The initial setup of Power BI is easier."
"Personalising Spotfire, as a whole, is painful and is something that could be made easier."
Earn 20 points
IBM Watson Explorer is ranked 9th in Data Mining while TIBCO Spotfire is ranked 13th in BI (Business Intelligence) Tools with 66 reviews. IBM Watson Explorer is rated 8.4, while TIBCO Spotfire is rated 8.2. 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 TIBCO Spotfire writes "A robust BI tool, with good dashboard features and adverse event tracking". IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI and Tableau, whereas TIBCO Spotfire is most compared with Tableau, Microsoft Power BI, Qlik Sense, QlikView and Amazon QuickSight. See our IBM Watson Explorer vs. TIBCO Spotfire report.
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