IBM Watson Explorer vs Microsoft Power BI comparison

The compared IBM and Microsoft solutions aren't in the same category. IBM is ranked #11 in DM , and holds a 2.1% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.0, and holds a 14.5% 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

565 Views
90 Comparison Views

100% willing to recommend

Microsoft Power BI

Read 326 Microsoft Power BI reviews

23,400 Views
14,274 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

Download the complete report

Helped 867,497 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 (11th)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

326

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 2.1%, up 0.8% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 14.5% mindshare, down 21.9% since last year.

Data Mining Market Share Distribution
Product	Market Share (%)
IBM Watson Explorer	2.1%
KNIME Business Hub	22.1%
IBM SPSS Modeler	15.7%
Other	60.099999999999994%

Data Mining

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Microsoft Power BI	14.5%
Tableau Enterprise	11.0%
Amazon QuickSight	4.9%
Other	69.6%

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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Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

Facilitates seamless data aggregation with some outdated visual elements hindering user appeal

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. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.

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

"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."

"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured 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."

"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."

"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."

"It is a little easier at buildings charts and graphs than Tableau."

"The solution is easy to set up and implement."

"We can see that it's really improved the way end users can do their own graphs and pick their own fields of information and present that in a nice way."

"I like how the Query Editor lets me manipulate the data, and the available visuals are good. You can do everything using the UI."

"It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation. Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution. Their technical support is very good. They are extremely responsive, helpful, and hands-on."

"The product's most valuable features are DAX functions for formulas and calculations."

"Power BI allows me to show detailed improvements in quality and safety and patient experience."

"I have found the quick reporting and the conductivity with all the data sources valuable."

More Microsoft Power BI pros

Cons

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

"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"

"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."

"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"

"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."

"The solution is expensive."

"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."

"The product’s on-premise reporting servers could support real-time data refreshing capabilities like its on-cloud version."

"There are some problems with the functionality of this solution. The dashboard is not very user friendly and is quite complicated."

"I think that there should be visuals for financial reporting videos. It should just be a plug and play because there is a lot of coding that goes into it with different clients."

"I have observed issues regarding stability."

"The handling of the workspaces can be made more granular for user access rights. It can be managed a little bit better in terms of the connection to Active Directory so that we have more granular access rights. I am not sure if this is really possible or if we can solve it differently, but we need a lot of workspaces, and we are not sure how we can deal with it from the access rights perspective."

"Microsoft BI has its own challenges in terms of user interface and how quickly somebody can learn how to use it."

"It needs more analytic tools."

"One of the more difficult things to do is to export some of the data from Power BI to Excel."

More Microsoft Power BI cons

Pricing and Cost Advice

"The solution is expensive."

"Its licensing cost is very high. It is $20 per user, which is very high, but it is a good product, so you pay for it."

"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."

"The solution's costs are quite reasonable given the range of features provided."

"The price of the license can be better."

"No comment on pricing."

"Downloading Power BI Desktop is free."

"I have not had a customer suggest the solution is too expensive. There are licenses to use the solution."

"MS BI comes with all the tools and it is, to the best of my knowledge, the most affordable solution."

More Microsoft Power BI pricing and cost advice

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Comparison Review

it_user79932

Senior Manager - BI Head at NVidia

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

Educational Organization

14%

Performing Arts

12%

University

10%

Recreational Facilities/Services Company

Financial Services Firm

12%

Computer Software 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	134
Midsize Enterprise	57
Large Enterprise	165

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 30% of the time

Salesforce Einstein Analytics vs IBM Watson Explorer

Compared 25% of the time

Izenda vs IBM Watson Explorer

Compared 13% of the time

More IBM Watson Explorer Competitors

Tableau Enterprise vs Microsoft Power BI

Compared 13% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 9% of the time

Databricks vs Microsoft Power BI

Compared 7% of the time

Domo vs Microsoft Power BI

Compared 7% of the time

KNIME Business Hub vs Microsoft Power BI

Compared 5% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM Watson Explorer

September 2025

Download IBM Watson Explorer product report

Buyer's Guide

Microsoft Power BI

August 2025

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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