IBM Watson Explorer vs Microsoft Power BI comparison

The compared IBM and Microsoft solutions aren't in the same category. IBM is ranked #10 in DM , and holds a 2.9% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.1, and holds a 9.3% 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

695 Views
188 Comparison Views

100% willing to recommend

Microsoft Power BI

Read 329 Microsoft Power BI reviews

24,257 Views
15,524 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 in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Watson Explorer vs. Microsoft Power BI Report (Updated: March 2020).

Buyer's Guide

IBM Watson Explorer vs. Microsoft Power BI

March 2020

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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 (10th)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

329

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 2.9%, up 0.5% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 9.3% mindshare, down 21.8% since last year.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM Watson Explorer	2.9%
IBM SPSS Modeler	18.9%
IBM SPSS Statistics	18.3%
Other	59.900000000000006%

Data Mining

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	9.3%
Tableau Enterprise	6.7%
Amazon QuickSight	3.7%
Other	80.3%

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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Antonio Flor

Lead Anaplanner at Chaucer Group

Data integration has improved reserving and expense control while collaboration drives fast dashboards

Regarding drawbacks or weak points in Microsoft Power BI, it may not be directly related to the tool itself, but with our architecture, as we couldn't get a service account, which is an email address that has no relationship with the employees, just to establish the connection with Anaplan. We couldn't get it to work on SSO, so we use an employee account which could be a point of weakness, meaning if the person leaves, that connection will break. If the person goes on holiday and we need to refresh, we have to change the connection as well, but we have to live with that since we're not using SSO on the service account. Regarding the natural language processing feature, we're trying to avoid using it too much because it can slow down the connection, so as much as possible, we try to build the logic and any transformation in Anaplan, and then deliver an end product to Microsoft Power BI.

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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."

"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."

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

"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."

"The main use case is FAQ for the user; it works for almost 80% of the use case coverage."

More IBM Watson Explorer pros

"Microsoft B's beneficial features are that it is a Microsoft product and it is well known by the staff here in the company. It suited the available skills."

"The breadth of products do a fine job at enabling the delivery of data and insights to the right people, in the right format, at the right time."

"It integrates better with other Microsoft products. It is very easy to use and has very powerful visualizations. It has also got a lot of development going on."

"The one feature most of our customers like is data visualization. When we were doing BI directly from SQL, most users found it challenging to create their own reports. Power BI has self-serve analytics that the end-users can do themselves. On most projects, people are primarily using data visualization and self-serve analytics."

"Most of the clients I am interacting with are looking towards Power BI because of the cost and simplicities. It provides an entire feature set and a complete solution. It has tight integration with Office 365, Dynamics 365, Microsoft Technology Stack, and datatypes like R and Python."

"Previously we used Excel, which took a long time - two or three weeks - to bring the data into a uniform format, whereas BI can do the same job in a day."

"We are able to collaborate on things and get insightful data visualizations."

"The stability is good."

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."

"The solution is expensive."

"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."

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

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

More IBM Watson Explorer cons

"It was easy to implement Microsoft Power BI into our existing infrastructure, but integrating it with Oracle Cloud was very difficult. The integration with Oracle Cloud required us to build a sophisticated database replication process because the APIs for Oracle Cloud are very restricted in terms of volume, depth, and complexity of queries. However, the part of implementing Power BI into our infrastructure was very easy. It required almost no tech input because it was all part of Office 365. To overcome the integration issues, we developed an extract and update process, although it was quite complicated and involved a lot of IP. Power BI excels in integrations and its ability to handle various data sources. It would be beneficial if it could integrate more seamlessly with cloud interfaces like Oracle Cloud, although I understand the challenges with Oracle's policies on database access. Another area for improvement would be enhancing error messaging, especially when working with Dataverse and M Code for automation."

"This is frustrating because sometimes the finance manager needs to export the report to a PowerPoint."

"I cannot comment on the stability as we haven't yet used it for a big project."

"We have used other solutions and the reporting functionality should be user-friendly and have a drag and drop feature should be available, but Microsoft BI doesn't have these features. When you are creating reports and you can't change as a user. Every time you need one developer or one technical person to make the changes."

"Monitoring features: I need Microsoft to provide a set of tools to help me monitor Microsoft's products."

"Areas for improvement would be the construction of reports and the dashboard budget."

"Powerpoints are not available in the report server."

"I find the solution to be 70 percent stable."

More Microsoft Power BI cons

Pricing and Cost Advice

"The solution is expensive."

"The pricing is very reasonable compared to any other tool."

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

"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."

"It is part of our Office 365 license."

"Price is the best feature of Power BI! You get a lot of value for the price. If you know how to use it, it's a great BI solution for your money."

"The price of the license can be better."

"This product offers good value for the money."

"The current licensing model that Microsoft BI has is expensive. My customers have told me the cost is approximately $20 per user and this can get expensive fast. There should be a one-time purchase option if the customer has a lot of users."

More Microsoft Power BI pricing and cost advice

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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

Performing Arts

12%

University

11%

Recreational Facilities/Services Company

Healthcare Company

Financial Services Firm

12%

Manufacturing Company

Government

Computer Software 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	135
Midsize Enterprise	58
Large Enterprise	166

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 ...

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Comparisons

Tableau Enterprise vs IBM Watson Explorer

Compared 16% of the time

IBM Planning Analytics vs IBM Watson Explorer

Compared 16% of the time

IBM SPSS Modeler vs IBM Watson Explorer

Compared 11% of the time

Salesforce Einstein Analytics vs IBM Watson Explorer

Compared 10% of the time

KNIME Business Hub vs IBM Watson Explorer

Compared 9% of the time

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Amazon QuickSight vs Microsoft Power BI

Compared 17% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 14% of the time

Domo vs Microsoft Power BI

Compared 7% of the time

Databricks vs Microsoft Power BI

Compared 2% of the time

SAP BusinessObjects Business Intelligence Platform vs Microsoft Power BI

Compared 2% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM Watson Explorer

March 2026

Download IBM Watson Explorer product report

Buyer's Guide

Microsoft Power BI

March 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 is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

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

Buyer's Guide

IBM Watson Explorer vs. Microsoft Power BI

March 2020

Free Report: IBM Watson Explorer vs. Microsoft Power BI

Find out what your peers are saying about IBM Watson Explorer vs. Microsoft Power BI and other solutions. Updated: March 2020.

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