IBM Watson Explorer vs Microsoft Power BI comparison

Why PeerSpot?

The compared IBM and Microsoft solutions aren't in the same category. IBM is ranked #9 in DM , and holds a 3.6% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.3, and holds a 7.1% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

IBM Watson Explorer

Read 10 IBM Watson Explorer reviews

1,470 Views
397 Comparison Views

100% willing to recommend

Microsoft Power BI

Read 332 Microsoft Power BI reviews

39,361 Views
25,978 Comparison Views

93% willing to recommend

IBM Watson Explorer

Microsoft Power BI

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Watson Explorer and Microsoft Power BI based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining.

To learn more, read our detailed Data Mining Report (Updated: September 2026).

Buyer's Guide

Data Mining

September 2026

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Helped 913,806 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

IBM Watson Explorer

Average Rating

8.4

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (9th)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

332

Ranking in other categories

BI (Business Intelligence) Tools (1st), Reporting (1st)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM Watson Explorer is designed for Data Mining and holds a mindshare of 3.6%, up 2.1% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 7.1% mindshare, down 14.5% since last year.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM Watson Explorer	3.6%
IBM SPSS Statistics	15.0%
IBM SPSS Modeler	14.9%
Other	66.5%

Data Mining

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	7.1%
Tableau Enterprise	5.8%
SAP Business Data Cloud	3.0%
Other	84.1%

BI (Business Intelligence) Tools

Featured Reviews

it_user1319820

Lead Engineer at a computer software company with 10,001+ employees

A data analysis tool that is scalable and includes keyword search functionality

The solution is used for a government company for data collection and analysis 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. I have been using the solution for five…

Read full review

Hemanthreddy Vakiti

Junior Data engineer at a tech vendor with 10,001+ employees

Interactive dashboards have transformed restaurant data into faster daily business decisions

Microsoft Power BI has many features and there is not a lot to improve. However, the licensing can be confusing. When deciding between Pro and Premium, I find it difficult to distinguish what features are offered by Pro and what features are offered by Premium, including the particular differences to choose between both licensing models. Additionally, some features such as DAX, which I mentioned previously, involve DAX calculations and complex data modeling, which are somewhat advanced and not easily understandable. Prior knowledge is required or you need to go through the documentation. If the documentation is made comprehensive so that anyone with no knowledge on DAX can easily use it by going through the documentation, it would be really helpful. Additionally, if the integration with non-Microsoft tools is improved and performance is optimized, then Microsoft Power BI can become a top-ranked visualization tool. The user experience with Microsoft Power BI is quite good. The intuitive user interface makes it easy for both technical and non-technical users to create reports. However, only the advanced features are somewhat complex, and if the documentation is improved, it can be easily accessible.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

"What impressed me more about Watson is that it is easy to use it, not for the technical people, but for business people."

"Implementing the solution really helped with manual labor, it takes care of a lot of FT work."

"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 being able to see hidden insights from within unstructured 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."

"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."

More IBM Watson Explorer pros

"The amount of customization that you can do is good, and it's relatively straightforward to do, as people with limited experience in terms of coding can implement this themselves."

"With the out-of-the-box Data Platform and Business Intelligence ecosystem, you get the entire platform with a single license."

"It is easy to work with and very chic."

"There is a feature in Microsoft BI that allows JSON data to SQL on the dashboards effectively and quickly."

"The solution is stable."

"One of the most valuable features of Microsoft Power BI is its easy way of sharing data within the organization or outside."

"From a visualization perspective, Microsoft Power BI is really good and gives a lot of features, and the business users can understand very easily."

"Reports, dashboards, and visualizations are most valuable."

More Microsoft Power BI pros

Cons

"Sometimes the service stops."

"No, it's not yet stable."

"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 or something of the like."

"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 solution is expensive."

"I think we'll get it to a 10, but I think at the moment it's got to be a good eight or nine out of 10 at least."

"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 IBM Watson Explorer cons

"The product could have better analytics capabilities."

"There needs to be more flexibility in terms of handling the data. Data computation is not very good in PowerBI."

"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."

"I have had only one interaction with them, and it was a bad one."

"The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug."

"I have observed issues regarding stability."

"Real-time refreshing for SAP BW would be nice. We know its on the radar for the development team at MS. "

"Microsoft BI lacks integration capabilities, so it needs to consider increasing its integration capabilities."

More Microsoft Power BI cons

Pricing and Cost Advice

"The solution is expensive."

"It is part of our Office 365 license."

"Pricing, that's where Microsoft beats Tableau. It is priced much cheaper."

"As far as I am aware you do not need a license for the solution."

"No comment."

"You don't need a license for development, but if you want to publish to external users, you need a license. The licensing is very costly, but I think that since the advantages and benefits of Power BI are so high, people are willing to pay. I can't blame them."

"Paid for itself in the first month."

"Microsoft BI is not expensive. Compared to the price of other BI products, the price is very fair."

"We have a premium Power BI license in-house that's quite an expensive license. It's $10 a month for four users and then I think 35,000 at the premium rate."

More Microsoft Power BI pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Mining solutions are best for your needs.

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913,806 professionals have used our research since 2012.

Comparison Review

it_user79932

Senior Manager - BI Head with 5,001-10,000 employees

Feb 4, 2015

Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho

1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…

Read full review

Top Industries

By visitors reading reviews

Construction Company

16%

Healthcare Company

13%

Performing Arts

10%

Financial Services Firm

10%

Financial Services Firm

14%

Construction Company

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	2
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	137
Midsize Enterprise	59
Large Enterprise	171

Questions from the Community

Ask a question

Earn 20 points

Seeking lightweight open source BI software

There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...

See all answers

Is Power BI a complete platform or only a visualization tool?

Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance po...

See all answers

How does Oracle OBIEE compare with Microsoft BI?

Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...

See all answers

Comparisons

Tableau Enterprise vs IBM Watson Explorer

Compared 14% of the time

Oracle OBIEE vs IBM Watson Explorer

Compared 10% of the time

IBM SPSS Modeler vs IBM Watson Explorer

Compared 6% of the time

SAS Analytics vs IBM Watson Explorer

Compared 5% of the time

KNIME Business Hub vs IBM Watson Explorer

Compared 4% of the time

More IBM Watson Explorer Competitors

Amazon QuickSight vs Microsoft Power BI

Compared 14% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 10% of the time

Domo vs Microsoft Power BI

Compared 5% of the time

IBM Cognos vs Microsoft Power BI

Compared 2% of the time

QlikView vs Microsoft Power BI

Compared 2% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM Watson Explorer

September 2026

Download IBM Watson Explorer product report

Buyer's Guide

Microsoft Power BI

September 2026

Download Microsoft Power BI product report

Also Known As

IBM WEX

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI

Overview

IBM Watson Explorer integrates diverse information using AI to uncover insights from unstructured data. It excels in data visualization, simplifying complex queries and enhancing machine-learning integration with ease of use through its APIs.

IBM Watson Explorer stands out with its ability to analyze unstructured data and provide visual representations, aiding in simplifying complex queries. Its machine-learning integration and easy-to-use API functionalities offer businesses unique insights. The solution is equipped with features like auto-generated documents and keyword highlighting, with voice command integration further enhancing its capabilities. Despite its strengths, there is room for improvements in language support, interface design, and accessibility for non-experts. More readily available middleware solutions and innovations in natural language analysis are needed, alongside community editions for trial use.

What features make IBM Watson Explorer distinct?

AI Integration: Utilizes AI to analyze diverse information and uncover hidden insights.
Data Visualization: Provides visual formats to simplify complex queries.
Machine Learning: Integrates machine-learning capabilities with user-friendly APIs.
Auto-Generated Documents: Automatically generates documents for ease of reporting.
Keyword Highlighting: Highlights keywords efficiently for better data review.
Aggregation Mode: Offers aggregated data insights for complex analysis.
Voice Command Integration: Enables control and operations via voice commands.

What benefits should we look for in reviews?

Enhanced Analytics: Provides deep analysis of unstructured data for better decision-making.
Improved Data Management: Simplifies data management processes through visual tools.
Increased Efficiency: Streamlines operations with easy-to-use APIs and automated features.
Adaptability: Flexible integration with existing systems and data environments.
Innovative Features: Leverages advanced AI and machine-learning technologies.

IBM Watson Explorer is utilized by enterprises in banking for integrating technologies and managing FAQs. It processes large datasets for building knowledge bases and analyzing unstructured data for government purposes. The solution aids in creating indexes from scientific papers and integrating platforms via natural language processing, offering valuable insights for business analytics and fraud detection.

IBM

Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

Microsoft

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda

Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: September 2026.

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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.