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Alteryx vs IBM Planning Analytics 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

Alteryx
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
82
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (5th), Data Preparation Tools (1st)
IBM Planning Analytics
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
25
Ranking in other categories
Business Performance Management (3rd)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Alteryx is designed for Predictive Analytics and holds a mindshare of 21.4%, down 26.0% compared to last year.
IBM Planning Analytics, on the other hand, focuses on Business Performance Management, holds 8.7% mindshare, down 9.2% since last year.
Predictive Analytics
Business Performance Management
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
Gnanavel-Chakkarapani - PeerSpot reviewer
Can easily create dashboards and helps businesses improve forecasting accuracy
The product has improved our company's forecasting accuracy since it serves as a very useful tool for our sales and controller teams as they easily get to enter the inputs using views in TM1, which gets loaded into our main database. If there are sales team members in different parts of the world, like in Hong Kong and Singapore, they may prefer to use IBM Planning Analytics, which is easy to use when compared to the Excel tool. Speaking about planning analytics and data analysis, I would say that our company used to use IBM Cognos Analytics for reporting, where we used to use Cognos Dynamic Cubes so that users can easily use its drag and drop features while getting to see the data for which the users had to wait for two to three minutes prior to its use. In our company, tons of data are loaded into the memory, and users can use Cognos Dynamic Cubes to analyze data and understand it. The AI capabilities of IBM have benefited our planning strategy as they are very useful for business. The tool allows the easy creation of dashboard reports using AI capabilities. No technical knowledge is required for business use cases. It is possible to integrate the product in scenarios where some new integrations are available. I remember that my company used Azure Data Factory to connect Azure, Oracle, and IBM WebSphere Application Server. When it comes to IBM Planning Analytics, it is complex to integrate it with LDAP and or any other authentication tool offered by Microsoft. In our company, some users like to integrate IBM Planning Analytics with the common LDAP or Microsoft AD, which we currently use for all our applications. The authentication part is difficult to configure with IBM Planning Analytics. The maintenance of the product is easy. My company has scheduled maintenance on the product every week, especially during forecast times, so that memories automatically lapse and users can freely access their servers. The use of the tool has had an impact on collaboration within our company's planning team since everyone knows how to easily access the data and publish the results. I recommend the product to those who plan to use it. I rate the tool a nine out of ten.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product's Macros probably are one of the most useful aspects."
"The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"The GUI is simple and it integrates with Python."
"Once we got it in-house, I knew its value."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"The solution has excellent drag and drop functionality. There's no need for coding."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"It's a very stable, robust product."
"This level of stability is crucial for a product like Cognos TM1, as using an unstable platform would result in loss of time."
"The scenario modeling capabilities are frequently used to create different scenarios, compare them, and see which action leads to which result."
"Navigating through the data to make analysis is really quick."
"A lot of the platform is in-memory, so Planning Analytics can run calculations quite fast. It also offers several user interfaces. And in the newest version of Planning Analytics, there is a new one called the Planning Analytics Workspace. Maybe it could be useful for the business side."
"The most valuable feature is that it is able to slice and dice the data."
"The flexibility of IBM Planning Analytics is a great feature of this solution. The design flexibility with data rules and defining calculations The ability to combine online and offline calculations are a benefit. Additionally, the forecasting features and predictive analytics is very good."
"All the different platforms are well integrated."
 

Cons

"The solution could work on the BI side of the tool to make it a bit better."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"If there is any way to make the learning curve less steep, that would be ideal."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"They should work on its pricing."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"The new frontend Planning Analytics Workspace is not very good, it could be improved. I like the Planning Analytics functionality but it would be helpful if it could be more customizable. You can create a prediction and receive information but you cannot do feature engineering regarding the predictive models. If this was added it would be helpful."
"Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014. On a scale, I'd rate scalability at four, out of ten. It's difficult."
"It would have been better if the solution was not just a tool kit."
"The dashboard is very poor and needs a lot of improvement."
"IBM is behind competitors like Tableau and Power BI in terms of visualization. Their visuals are less innovative and practical with fewer varieties."
"Planning Analytics could be improved by adding automation features."
"It's highly competitive right now, and all the vendors are in a race to put out new versions with additional features. IBM comes out with new versions too often, and it has an impact on quality."
"If we talk only about the TM1 engine, it's quite rich and possibly too rich, making it complex to perform simple tasks."
 

Pricing and Cost Advice

"It is an expensive solution."
"In my opinion, it's actually quite expensive."
"We use the free version of the solution. There are enterprise licenses available. It cost approximately $5,000 annually. It is an expensive solution and there are additional features that cost more money."
"It's very expensive. I'd rate it a four out of ten in terms of the price. It's great for big companies but not for small companies."
"It's probably on the pricey side, but they provide some really useful ways to grow and test."
"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
"The cost of the solution could be reduced."
"Opt for the three year subscription. It is 20% less than the yearly one."
"Compared with the other tools in the market, IBM Planning Analytics is a bit expensive."
"IBM Planning Analytics is not the cheapest solution, but it's priced per the market standard for this type of solution. I rate the price at seven out of ten."
"The license of this solution is paid annually. Most of my customers choose a license that includes support."
"I would rate the tool's pricing a nine out of ten since it's expensive."
"IBM Planning Analytics is priced well, and licensing costs are yearly."
"Our licensing cost is approximately $50,000.00 per year."
"It is a bit expensive, but you get what you are paying for."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
6%
Educational Organization
42%
Financial Services Firm
10%
Computer Software Company
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
What do you like most about IBM Planning Analytics?
The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized.
What is your experience regarding pricing and costs for IBM Planning Analytics?
TM1 is quite expensive, and I'd rate the pricing as an eight out of ten. While we do get what we want in terms of functionalities and compatibility with other IBM tools, given the product's old arc...
What needs improvement with IBM Planning Analytics?
Since I'm using TM1 as an old version of Planning Analytics, it wouldn't be fair to specify what needs improvement because it's possible these issues have already been addressed in newer versions. ...
 

Comparisons

 

Also Known As

No data available
Cognos TM1, IBM Cognos TM1
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
ManpowerGroup, Convergys, AIG, Orchard Brands, Citibank, InterGen, Northwestern University, EF Education First, Ironside, Bazan Group, CSOB Insurance, Macquarie Group, Charles Stanley, SATO, Government of Sint Maarten, BMW Financial Services
Find out what your peers are saying about Alteryx, SAP, Altair and others in Predictive Analytics. Updated: March 2025.
849,190 professionals have used our research since 2012.