IBM Watson Explorer vs Microsoft Power BI comparison

The compared IBM and Microsoft solutions aren't in the same category. IBM is ranked #9 in DM , and holds a 3.5% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.4, and holds a 7.4% 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

1,322 Views
344 Comparison Views

100% willing to recommend

Microsoft Power BI

Read 332 Microsoft Power BI reviews

36,430 Views
24,408 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 IBM, Knime, Weka and others in Data Mining.

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

Buyer's Guide

Data Mining

July 2026

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Helped 908,834 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 3.5%, up 1.5% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 7.4% mindshare, down 20.3% since last year.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM Watson Explorer	3.5%
IBM SPSS Statistics	15.6%
IBM SPSS Modeler	15.5%
Other	65.4%

Data Mining

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	7.4%
Tableau Enterprise	5.9%
Amazon QuickSight	3.1%
Other	83.6%

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…

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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

"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."

"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."

"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 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."

"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."

"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."

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

More IBM Watson Explorer pros

"The most valuable features of Microsoft BI are its intuitiveness and ease to use."

"Users already using Excel can generate new reports and dashboards within minutes."

"In terms of stability, this product has never failed me."

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

"Very high, as it is a very cost effective application compared to any BI tools in the market."

"The product is user-friendly."

"The ease of integration and connectivity stands out as the most critical aspect, followed closely by the flexibility to customize reports and dashboards."

"My favorite feature is the power query editor, where it can do the data transformations."

More Microsoft Power BI pros

Cons

"It needs better language support, to include some other languages. Also, they should improve the user interface."

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

"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."

"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."

"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 or something of the like."

"The solution is expensive."

"Sometimes the service stops."

More IBM Watson Explorer cons

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

"It needs a wizard that covers all its options."

"The SQL Server Reporting Services can certainly use some more help."

"Defining Relationships can be confusing when you are working with a complex data model. It can result in circular relationship referencing and the interface does not help solve it, or even understand it, in any way."

"Sometimes in Power BI, the logic can be challenging to follow."

"License fee structure. Mobile Reporting Services is only available for the "Enterprise" edition of SQL Server 2016."

"The aggregate functions in SSRS."

"Needs single sign-on."

More Microsoft Power BI cons

Pricing and Cost Advice

"The solution is expensive."

"The license is on a yearly basis."

"There are a few options available for purchasing a license. Typically the number of users you have will determine the price of the license. The more users you have the more you will pay."

"Its price is very low. It is like $10 per user, per month. The clients pay for their own licenses. It is not on us. There are no costs in addition to the standard licensing fees. That's the beauty. With other systems, you need to spend a couple of thousand dollars just to get started, and then you need to spend $500 per year for the license, which becomes much more costly. You have a system here where for $120 to $140 a year, you can start with two people and start developing and deploying. You can see why the cost difference is huge, especially when you are on a low scale, like us, and you're not building something very huge."

"There is room for at least 45% discount as compared to the initial price."

"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."

"They are charging us by users in storage, and there is a license fee. My financial people handle all that. The client has already worked out a contract with Microsoft, and basically, we're getting government prices."

"We pay on a monthly basis which is approximately $10 per user on the Microsoft Power BI Pro license. At the moment we are still down at 400 users, but once we reach 500 users, we will move to the premium edition. The premium is $5,000 for unlimited users. Currently, with the 40 users, the cost is roughly $500."

"The solution is less expensive than other PowerBI tools, which is why most people go with it, although it does cost more than MSBI tools."

More Microsoft Power BI pricing and cost advice

See which vendors are best for you

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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

15%

Healthcare Company

12%

Performing Arts

Financial Services Firm

13%

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...

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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 8% of the time

IBM Planning Analytics vs IBM Watson Explorer

Compared 6% of the time

SAS Analytics vs IBM Watson Explorer

Compared 5% of the time

More IBM Watson Explorer Competitors

Amazon QuickSight vs Microsoft Power BI

Compared 16% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 11% of the time

Domo vs Microsoft Power BI

Compared 6% of the time

QlikView vs Microsoft Power BI

Compared 2% of the time

IBM Cognos vs Microsoft Power BI

Compared 2% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM Watson Explorer

August 2026

Download IBM Watson Explorer product report

Buyer's Guide

Microsoft Power BI

July 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 IBM, Knime, Weka and others in Data Mining. Updated: July 2026.

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