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."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 valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured 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."
"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."
"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 well integrated with other Microsoft products, including PowerApps and Excel, as well as Access, so it fits well into our workflow."
"I have found the most valuable feature of this solution is the Natural Language tool."
"We've used Microsoft BI for the general use cases around reporting and dashboarding."
"I like that I can use Power BI to upload data. That is very important for me. The visualization is also convenient and easy to use."
"Power BI stands out because it provides considerable flexibility in creating reports, dashboards, and various types of analytics to meet those dynamic requirements. It is lightweight and easy to use with good support."
"Its visualizations and dashboards are most valuable. Power BI is great in terms of visualizations and dashboards. The reports that we previously had were not very nice in terms of visualization. It also provides the ability to play with the data."
"Constant collaboration is the most valuable. I can build a dashboard, and several co-workers can access this dashboard. We can share information that is important for decision-making. It is a very easy-to-deploy solution. It is compatible with a lot of data sources. It is also very stable and scalable. There is also a very good forum and a lot of help and online training."
"Allows business users with a mission to solve their own problems, without an IT person."
"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."
"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"
"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 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"
"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."
"The UI is the main improvement that could be made. Specifically, there is something called DAX, in Power BI, which is complicated compared to calculated fields used in Tableau."
"The solution could improve by having more attractive graphical charts."
"Microsoft has made a lot of progress with Power BI in the past couple of years, but there is still some room for improvement. For example, Integration is one area they could work on. They are adding more integration with other Microsoft tools, but I would like it if they sped up the process."
"If you look at the new tool, even though they promised that you could do data modeling, that you could do everything from the Power BI side, if your data is really large in volume, sometimes it doesn't work on the Power BI. More feature testing from their side would certainly help users."
"Anything they can do to improve enterprise collaboration is going to help people get set up and utilize the solution."
"This solution needs integration with SAS and more deep analysis functionality."
"Power BI doesn't support some open-source data sources that are new, such as SnowSQL, Iceberg, or ClickHouse."
"The UI looks awkward once the graphs have been generated in the console. This is what Microsoft can work on."
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.
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