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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
Number of Reviews
10
Ranking in other categories
Data Mining (12th)
Microsoft Power BI
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
319
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 0.5%, down 0.8% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 21.8% mindshare, down 22.7% since last year.
Data Mining
BI (Business Intelligence) Tools
 

Featured Reviews

it_user840897 - PeerSpot reviewer
Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them
WEX is more a platform, I believe, than it is the application. I could talk about what I'm looking for in the application. We've done visualizations and we can do basic analysis with the system as it stands. Where we're looking to take it is implementing it into workflows, so the workers on the line can actually understand the risks that they're exposing themselves to and then address them on the fly. So that's fantastic. And then the final one is, it's not prediction, but maybe anticipation. So when people are put at risk, we'll be implementing solutions shortly that will help people anticipate the risks and the dangers they're exposing themselves to so they can control them.
James Balbach - PeerSpot reviewer
Robust system consistently elevates data visualization and seamlessly updates with user-driven advancements
Power BI is a general-use visualization system. I can express the performance of our network through high-level key performance indicators. It allows me to show detailed improvements in quality and safety and patient experience. I create improvement dashboards for task forces and work teams. I have built analytic dashboards that guide analytics, enabling research and dataset manipulation.

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."
"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."
"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."
"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 most valuable aspect of Microsoft Power BI in my field is the insights it provides from analyzing data. Sometimes, these insights go beyond what traditional analysis can reveal due to the large volume of data involved. In terms of improving our data analysis process, it starts with identifying data sources, followed by cleaning and filtering out irrelevant data. Then, we categorize and structure the data to achieve the best visualization and insights. Regarding Power BI's integration with other tools, although we haven't implemented it ourselves, it's known that Power BI can integrate with systems like SAP or ERP software, which could enhance our analytics capabilities if needed."
"The visualization part and its inclusion in a cloud-based application are valuable features."
"The scalability overall has been quite good."
"The stability is good."
"The most interesting feature of Microsoft Power BI is that it's very user-friendly."
"It provides good visibility."
"Power BI is a complete ecosystem. It has an integrated ETL tool and good connectivity with applications such as Office 365 and SQL. There are also solutions for RPA, such as Microsoft Power Automate and Microsoft Power Apps. Power BI now has integration with Power Query, which has an AI feature for text analytics. Text analytics is a very good feature. This feature is also there in Tableau, but I like it in Power BI because you can write something like, "What is the total sale in the Eastern region?", and it will give you the answer. For example, when you have different types of user opinions, you just run one algorithm and you will have the output that provides the number of positive and negative responses. You can even have a dashboard with positive remarks. This feature has been introduced recently. Power BI supports the DAX and Power Query M languages. These languages are making Power BI very strong in data analytics, and you can do many types of analysis."
"The most valuable feature is integration with Python."
 

Cons

"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."
"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 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"
"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."
"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."
"We would like improvements made to the paginated reports so that it produces quality similarly to SSRS."
"Microsoft needs to provide more drivers to connect other data sources in a native way."
"The visualization aspect, while being the most visible to business users, also happens the be the weakest point in the entire Microsoft BI stack."
"It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it."
"I would like to see a feature that connects with a Machine Learning platform like a RapidMiner or Azure Machine Learning Studio. It would be great to have a Machine Learning application link to connect."
"It should have more report outputs. They should expand the report outputs. Its documentation should also be better."
"The solution could improve the mobile application design. It is difficult to use compared to the desktop version."
"There could be an integrated AI that can automatically analyze some of your data and highlight or provide suggestions. For example, when you are looking at a data set, it can suggest putting it into a certain type of chart so that you gain different insights or a trend line. You would almost have templates that it would recommend for you."
 

Pricing and Cost Advice

"The solution is expensive."
"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."
"If it has to be applied on the cloud, then it costs around $10 per month per user. For a pro license and for a premium license it's around $20 per month per user. If it has to be applied on-premises then, depending on the course of your server, you have to buy a software assurance version of the database."
"The licensing can be complicated."
"The solution is affordable."
"Power BI's price is reasonable, especially if you can put it in some bigger package and use it with other products. The value of a solution doesn't just come from its features as a standalone product. The price should also reflect how easy it's to set up, clean data, and integrate with other solutions."
"The premium capacity is very costly in respect of the market in Egypt, amounting to $5,000 monthly."
"Setup is easy, and the cost is economical. You do sometimes need to pay additional costs for third party products which "plug-in" to Microsoft BI."
"I rate the product price an eight on a scale of one to ten, where one is low price and ten is high price."
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Comparison Review

it_user79932 - PeerSpot reviewer
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
Computer Software Company
17%
Educational Organization
15%
Financial Services Firm
11%
University
8%
Educational Organization
43%
Financial Services Firm
8%
Computer Software Company
6%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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...
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.
842,161 professionals have used our research since 2012.