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."
"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."
"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."
"It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation. Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution. Their technical support is very good. They are extremely responsive, helpful, and hands-on."
"The initial setup is simple to do."
"Data integration is very useful in Power BI. It lets me collect data from many sources. For example, I can get data from Oracle databases and SQL Server databases at the same time."
"In my experience the scalability is good. You are able to increase users and add more data."
"The interface is very easy to use."
"The most valuable feature is that it's easy to use. It's very useful for non-engineers and it is the ultimate solution for providing information and insights. Power BI is the best visualization tool I have ever worked with."
"Because this solution is very easy, and very visual, you can have results in minutes."
"ou can pull reports, visualize them in real-time, and connect them to a variety of other data sources."
"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."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"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"
"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 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."
"Microsoft BI lacks some of the scheme features. It would be beneficial if there were a way to show how we move values in a different way."
"Microsoft is behind IBM when it comes to security features."
"We would like to have better SQL support for queries."
"I think that the product would benefit by increasing the range of visuals and graphics readily available, as opposed to using a third party included as part of the product."
"Power BI doesn't support some open-source data sources that are new, such as SnowSQL, Iceberg, or ClickHouse."
"The way you navigate the product, compared to other products in this industry, that could be improved a bit."
"Areas for improvement would be the construction of reports and the dashboard budget."
"You do need to do some hard coding for certain things in Microsoft BI."
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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