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IBM Watson Explorer vs Microsoft Power BI comparison

 

Comparison Buyer's Guide

Executive Summary

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
10
Ranking in other categories
Data Mining (9th)
Microsoft Power BI
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
327
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 2.8%, up 0.6% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 8.9% mindshare, down 21.4% since last year.
Data Mining Market Share Distribution
ProductMarket Share (%)
IBM Watson Explorer2.8%
IBM SPSS Modeler19.1%
IBM SPSS Statistics18.5%
Other59.599999999999994%
Data Mining
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Microsoft Power BI8.9%
Tableau Enterprise6.2%
Amazon QuickSight3.7%
Other81.2%
BI (Business Intelligence) Tools
 

Featured Reviews

it_user1319820 - PeerSpot reviewer
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…
LV
HR Manager at PPB
Use advanced data preparation features in analytics projects
Microsoft Power BI can be quite slow when working with data sources that aren't from a data warehouse or a more robust source or data artifact. When working with exports, which we do frequently, the load takes considerable time. This occurs with any BI tool, and it's related to our working methods due to limitations within the area. In HR, we typically use exports because we have numerous data sources. Ideally, Microsoft Power BI would have a no-code or low-code solution for the data sources to be built by the actual developers or development team. This would eliminate the need to work directly with exports. We would have a middle ground to create a warehouse without all the infrastructure, as building a warehouse within an organization can require substantial resources, both in time and personnel.

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."
"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."
"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 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."
"You don't need much support with Microsoft Power BI because it has such a large base of users who can answer your questions on their forums. There are also many video tutorials and webinars available online that offer solutions to whatever problems you may have."
"The best feature for me is Power Query. I know that probably sounds strange, but you can't do too much with visuals and reports if the backend stuff is horribly dirty and just bad. But for me, that is absolutely fantastic. I can load the data and do the transformation and be able to load it in a useful way. There are tons of connections, which is absolutely fantastic as well. It's been fairly easy, and it's intuitive."
"It has provided customer purchase patterns and great visualization."
"The fact that you can visualize items is great."
"Reporting is the best thing about Power BI. And it could help improve decision-making in many ways. Power BI is flexible and easier to use compared to tools."
"One of the most valuable features of Microsoft Power BI is its easy way of sharing data within the organization or outside."
"The most interesting feature of Microsoft Power BI is that it's very user-friendly."
"When we are introducing Microsoft BI to our clients, if they're familiar with Excel, the transition phase will be much easier for them. They can easily switch from Microsoft Excel to Microsoft BI. The core foundation or the base technology is the same in both tools. There are a few limitations in Microsoft Excel, and this is where Microsoft BI comes in."
 

Cons

"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."
"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."
"The solution is expensive."
"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"
"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."
"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"
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"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."
"Adding paginated reports to this tool could be of great help for users who want to move away from SSRS."
"I would like to see Machine Learning for Power Bi Pro users or an intermediate license to enable Machine Learning if you don't have access to a Premium account."
"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."
"Power BI's administration could use some work, and the user experience needs to improve because it is a client-based tool. If you want to generate a model or report, you need to use client tools, but client tools are limited for end-users who don't have enough hardware. For example, maybe a client lacks enough memory or CPU power for report generators. If you use a model that requires a massive amount of data, your client will face several problems."
"I think that they can add more types of charts because the selection on the desktop version is limited."
"If I have to update data automatically, where I have to pin the gateway, it doesn't update. There is a scheduled refresh functionality so that it refreshes automatically, but I find it very hard to make it work."
"The solution could improve the mobile application design. It is difficult to use compared to the desktop version."
"I would like to see more visualization options."
 

Pricing and Cost Advice

"The solution is expensive."
"All in all, for the price, this is an excellent tool for helping your organization turn mounds of data into useful insights."
"The pricing is good. It's pretty competitive because I have worked on a few other tools as well, and Power BI is on the cheaper side."
"Its pricing is reasonable for the desktop stuff, but for enterprise-level, it is a little expensive."
"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."
"The pricing for the solution is relatively higher compared to other alternatives."
"The solution's costs are quite reasonable given the range of features provided."
"It is somewhere in the middle in terms of price. Licensing is quite clear."
"It is part of our Office 365 license."
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Comparison Review

it_user79932 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Performing Arts
12%
University
10%
Educational Organization
8%
Recreational Facilities/Services Company
8%
Financial Services Firm
12%
Government
9%
Manufacturing Company
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business135
Midsize Enterprise57
Large Enterprise165
 

Questions from the Community

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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...
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...
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 ...
 

Also Known As

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

Overview

 

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 Watson Explorer vs. Microsoft Power BI and other solutions. Updated: March 2020.
881,733 professionals have used our research since 2012.