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IBM SPSS Modeler 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 SPSS Modeler
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
39
Ranking in other categories
Data Mining (4th), Data Science Platforms (13th)
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 SPSS Modeler is designed for Data Mining and holds a mindshare of 17.3%, up 16.4% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 21.6% mindshare, down 22.4% since last year.
Data Mining
BI (Business Intelligence) Tools
 

Featured Reviews

PeterHuo - PeerSpot reviewer
Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data
There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.
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

"We have full control of the data handling process."
"We have been able to do some predictive modeling with it"
"We use analytics with the visual modeling capability to leverage productivity improvements."
"New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."
"I was familiar with using IBM SPSS Modeler separately in the private sector before that. It's a good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data."
"Compared to other tools, the product works much easier to analyze data without coding."
"Automation is great and this product is very organized."
"The supervised models are valuable. It is also very organized and easy to use."
"The solution overall is very useful. The reports that are generated and the reporting functionality management are beneficial."
"Power BI allows you to create user defined charts which is really useful."
"The best features of Microsoft Power BI include its integration with other Microsoft products and its ability to connect applications within the Microsoft ecosystem."
"Its seamless integration with Microsoft products, such as Microsoft SQL Server or Microsoft Excel, is the most valuable."
"It's a pretty scalable product."
"It gives us, the ability to do a lot of analysis quickly, similar to ad hoc analysis."
"MS SQL & SQL Server Analysis Services."
"We have plans to use the AI mechanisms and algorithms that Power BI uses to publish more easy-to-understand reports for our customers."
 

Cons

"Expensive to deploy solutions. You need to buy an extra deployment unit."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"​I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities.​"
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"We have run into a few problems doing some entity matching/analytics."
"​Initial setup of the software was complex, because of our own problems within the government."
"The forecasting could be a bit easier."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"BI is scalable, but there are some problems with limited online storage."
"The solution could improve by simplifying the user interface and adding integration or compatibility with APA."
"It could have more of a hold on big data. Manipulating big data on this solution complicates things. This needs to be improved."
"The DAX in Microsoft BI is quite difficult."
"They can improve it in terms of rule-based security. Currently, it has very limited rules."
"The visual outlet or the visualization aspect can be improved because the settings piece is quite problematic. It requires a lot of time to set the visuals and check. It is quite fiddly to change all the settings and font sizes. It just needs better ability in terms of using templates or visualization templates to get the vision. Our users always benchmark based on the product, and they don't appreciate everything under the bonnet. The only rating is based on the actual reports in the settings for the dashboard. They should make it look a bit funky and a bit more aesthetically pleasing on the eye. It is quite a fiddly tool, but other than that, it is pretty slick. Because it is community-driven, the marketplace tends to be changing forever. You get the standard visualizations, and you've also got all other marketplace visualizations that require you to spend a bit more money and purchase things in the marketplace. With certain visualizations, there is no longevity. I had used certain visualizations, but they discontinued them, and I had to rebuild my reports, which is obviously very frustrating. There should be some sort of stabilization around how the marketplace visuals impact the users when they expire."
"The solution is somewhat costly in comparison with MSBI tools."
"The mobile app is very poor."
 

Pricing and Cost Advice

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."
"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
"I am using the free version of IBM SPSS Modeler, it is the educational edition version."
"It got us a good amount of money with quick and efficient modeling."
"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."
"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."
"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."
"It is an expensive product."
"The price of the license can be better."
"I would rate the pricing an eight out of ten, with one being cheap and ten being expensive."
"It depends upon the tier of your Office 365 subscription. On E5, which is a Microsoft Azure subscription, you get it for free. If you are on a lower tier, you can subscribe for $10 a month per user, which is really cheap."
"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 license is on a yearly basis."
"We view it as an expensive product."
"The solution is affordable."
"I would rate them 4 out of 5 for their current pricing. There are no additional costs to the standard licensing fees."
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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
Financial Services Firm
13%
Educational Organization
12%
University
9%
Computer Software Company
9%
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

What do you like most about IBM SPSS Modeler?
Compared to other tools, the product works much easier to analyze data without coding.
What is your experience regarding pricing and costs for IBM SPSS Modeler?
The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...
What needs improvement with IBM SPSS Modeler?
There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performanc...
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

SPSS Modeler
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
 

Overview

 

Sample Customers

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
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
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