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."
"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."
"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."
"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."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"Microsoft BI is scalable."
"This is a self-service BI tool, so it doesn't require a huge amount of technical training, knowledge, or a background in BI in order to induct new people into it."
"The solution is stable with reasonable performance."
"Microsoft BI's dashboards are helpful."
"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."
"The scalability is good. We have 20 people in my organization using this solution and plan to increase usage."
"The product is easy to use and simple to navigate."
"The best feature of this solution is the way you can plan, communicate, and visualize all the knowledge you extract from the data for the customers. I like the way you can show or visualize the information a client needs to answer a business question."
"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."
"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."
"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."
"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."
"When there are large amounts of data being processed there are additional tools needed to handle it."
"The solution could improve by simplifying the user interface and adding integration or compatibility with APA."
"The look and feel should be updated in terms of the types of dashboards and graphs that you can produce. They aren't as visual as some of its competitors."
"At times, I feel that the system needs improvement in single sign-on, especially for the on-premises side of the tool."
"I would like to be able to use SQL properly within the reports and allow multiple people to work on the same report at the same time. If one person is working on it, then it causes issues for anyone else wanting to make reports."
"You do need to do some hard coding for certain things in Microsoft BI."
"Integration with artificial intelligence would help. Humans take time to review the data and eliminate errors. Artificial intelligence based on machine learning and understanding can bring the same functionality."
"I would like to see more AI capabilities in future releases. There's a strong interest in AI, including technologies like GPT, which facilitate real-time interactions."
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.
