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 3.8% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.4, and holds a 7.6% 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

1,906 Views
438 Comparison Views

100% willing to recommend

Microsoft Power BI

Read 332 Microsoft Power BI reviews

41,703 Views
27,941 Comparison Views

93% willing to recommend

IBM Watson Explorer

Microsoft Power BI

Comparison Buyer's Guide

Download the report

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, SAS and others in Data Mining.

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

Buyer's Guide

Data Mining

October 2026

Download the complete report

Helped 920,929 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 3.8%, up 2.1% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 7.6% mindshare, down 12.6% since last year.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM Watson Explorer	3.8%
IBM SPSS Modeler	13.3%
IBM SPSS Statistics	13.1%
Other	69.8%

Data Mining

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	7.6%
Tableau Enterprise	6.5%
SAP Business Data Cloud	3.4%
Other	82.5%

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

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

"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."

"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 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."

"I really can't talk enough about the team."

"IBM has been working with Bradesco since 1968, I think, and the support is very good, with a team of 10 IBM employees working every day, 24 hours, inside the bank in Sao Paolo."

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

"Previously we'd have a set of health and safety analysts who would be the key focal points for doing work to understand health and safety risks; so a very small number of people, but through WEX and through our Watson HSEQ solution, we've managed to get engagement across at least one-third of our workforce, so over 1,300 people, and a 25% reduction in health and safety incidents."

More IBM Watson Explorer pros

"Microsoft BI is stable."

"Technical support is quite responsive."

"What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable."

"The drag and drop facility to easily change the data correctly is the most valuable feature. I am happy to see visualizations. It's easier to talk about and make people understand what is going on."

"I like this product because it's a free software, very intuitive and very easy to use."

"One of the key factors why I use Power BI is because it's very flexible with other Microsoft tools."

"The Microsoft Power BI app is very good. It's also very flexible."

"I like the flexibility it offers."

More Microsoft Power BI pros

Cons

"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."

"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 or something of the like."

"No, it's not yet stable."

"We haven't used it in production yet so I can't answer this."

"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."

"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."

More IBM Watson Explorer cons

"The solution's documentation needs improvement."

"The Microsoft technical support is not great. You need to have a partner in place that's able to handle these services for you."

"I would rate the stability of Microsoft BI at 70 percent. While the solution is scalable, it certainly has its limitations."

"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."

"It could have more of a hold on big data. Manipulating big data on this solution complicates things. This needs to be improved."

"Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows."

"The solution could improve the extraction and transformation of data. For example, you transform the data and then send it to Microsoft BI without having to use your own API. We are only providing the API to Power BI, and then Power BI is doing the job."

"For someone who is new, I think that Power BI can be a little complicated."

More Microsoft Power BI cons

Pricing and Cost Advice

"The solution is expensive."

"Pricing is a big advantage that Power BI has over Tableau. Power BI is three or four times cheaper than Tableau. For my personal use, I will definitely prefer a $20 monthly fee of Power BI rather than a $70 monthly fee of Tableau. If you pay altogether for Power BI, they give you a discount, whereas, with Tableau, there is no discount. There are three versions of Power BI: Free, Pro, and Premium. The Premium version comes with a lot of things. There is no extra or hidden fee. You pay every month, and the software is with you. If you upgrade, there will be some extra charges."

"This product offers good value for the money."

"We are end-users, and we don't take care of the prices and accounting. We get a product and pay the fee to our internal service provider, but its price should be reasonable. Otherwise, they wouldn't have bought it."

"Our license is paid yearly and we have found that we have to be careful not to over-extend our usage in order to avoid upgrading our capacity plan."

"All of the licenses are on an annual basis, but Microsoft will amortize it to an extent. If it's five years, they'll include the possible interest they might have the following year. Ideally, their licensing scheme is an annual license, but they make it easier for some of our clients to take a five-year license but package everything inside for them to buy the license for five years."

"For my primary use case, i.e. teaching students, the free version of Power BI is adequate."

"The price of Microsoft BI is reasonable. Other solutions such as SAP Cloud are more expensive."

"Power BI premium is really expensive for our market. A lot of small and medium companies would like to purchase it, but they can't afford it."

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.

See recommendations

920,929 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

14%

Financial Services Firm

10%

Performing Arts

10%

Healthcare Company

10%

Financial Services Firm

13%

Manufacturing Company

Construction Company

Outsourcing Company

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

Yellowfin vs IBM Watson Explorer

Compared 5% of the time

Targit Decision Suite 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 8% of the time

Domo vs Microsoft Power BI

Compared 4% of the time

IBM Cognos vs Microsoft Power BI

Compared 3% 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

October 2026

Download IBM Watson Explorer product report

Buyer's Guide

Microsoft Power BI

October 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, SAS and others in Data Mining. Updated: October 2026.

DOWNLOAD NOW

920,929 professionals have used our research since 2012.

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.