We performed a comparison between IBM Watson Explorer and Microsoft Power BI 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."
"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."
"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."
"Good reporting and data analysis tool that's user-friendly, easy to deploy, stable, and scalable."
"The initial setup is pretty straightforward."
"It is a good platform for data analysis, organization, and all of the other interim performances that are necessary."
"The scalability overall has been quite good."
"The solution overall is very useful. The reports that are generated and the reporting functionality management are beneficial."
"I like the flexibility it offers."
"Ease of development and maintenance."
"It's easy to create reports and it's easy to download the data from the corresponding report."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"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"
"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."
"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"
"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."
"The solution is expensive."
"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."
"It's quite difficult to learn how to use Power BI."
"Most clients have MacBooks. Therefore, they use Tableau as Power BI Desktop is not available for the MacBook right now."
"The solution could be more customizable and you do not have too much freedom on the code."
"They can improve it in terms of rule-based security. Currently, it has very limited rules."
"Their technical support can be better. They normally take too long to escalate and resolve a case."
"I think that the solution is harder to use for people who are not experts in data."
"The UI looks awkward once the graphs have been generated in the console. This is what Microsoft can work on."
"When there are large amounts of data being processed there are additional tools needed to handle it."
Earn 20 points
IBM Watson Explorer is ranked 9th in Data Mining while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. IBM Watson Explorer is rated 8.4, while Microsoft Power BI is rated 8.0. 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 Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". IBM Watson Explorer is most compared with Salesforce Einstein Analytics and Tableau, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE. See our IBM Watson Explorer vs. Microsoft Power BI 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.
