Alteryx Designer vs IBM Cloud Pak for Data comparison

Alteryx and IBM are both solutions in the Data Integration category. Alteryx is ranked #16 with an average rating of 7.2, while IBM is ranked #23 with an average rating of 7.7. Alteryx holds a 1.5% mindshare in DI, compared to IBM’s 1.3% mindshare. Additionally, 90% of Alteryx users are willing to recommend the solution, compared to 88% of IBM users who would recommend it.

Alteryx Designer

Read 31 Alteryx Designer reviews

3,194 Views
2,970 Comparison Views

90% willing to recommend

IBM Cloud Pak for Data

Read 14 IBM Cloud Pak for Data reviews

2,163 Views
2,033 Comparison Views

88% willing to recommend

Alteryx Designer

IBM Cloud Pak for Data

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

IBM Cloud Pak for Data and Alteryx Designer compete in data analytics and management. IBM stands out with its robust integration capabilities and support features, while Alteryx shines in user-friendliness and sophisticated data processing tools.

Features: IBM Cloud Pak for Data offers comprehensive data integration, AI-driven insights, and scalability, enabling seamless collaboration across various data sources. It features Watson Studio, Modeler flows, and excellent data virtualization capabilities. Alteryx Designer is known for its intuitive workflow automation, strong data blending, and advanced analytics with user-friendly drag-and-drop functionality, time series analysis tools, and outstanding geospatial analytics.

Room for Improvement: IBM Cloud Pak for Data could enhance user interface accessibility, simplify initial deployment complexities, and improve cost-effectiveness for smaller businesses. Alteryx Designer might benefit from strengthening its enterprise support services, expanding machine learning capabilities, and offering more robust predictive analytical functionalities for greater competitive edge.

Ease of Deployment and Customer Service: IBM Cloud Pak for Data provides flexible deployment options focused on enterprise-grade solutions and comprehensive support, but has a complex installation process. Alteryx Designer stands out with its easier installation process and comprehensive user guidance tailored for simplicity and fast adoption.

Pricing and ROI: IBM Cloud Pak for Data carries higher setup costs due to its extensive feature set focused on providing higher ROI for large-scale deployments, appealing to expansive, long-term enterprise strategies. Alteryx Designer offers a more affordable entry point with fast returns, making it appealing for budget-conscious buyers seeking efficiency in smaller-scale operations.

To learn more, read our detailed Alteryx Designer vs. IBM Cloud Pak for Data Report (Updated: December 2025).

Buyer's Guide

Alteryx Designer vs. IBM Cloud Pak for Data

December 2025

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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 Designer

Ranking in Data Integration

16th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Cloud Pak for Data

Ranking in Data Integration

23rd

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Alteryx Designer is 1.5%, down from 2.8% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Alteryx Designer	1.5%
IBM Cloud Pak for Data	1.3%
Other	97.2%

Data Integration

Featured Reviews

Sergio Scorsoglio

Product Manager at Gruppo SCAI

Simplifies predictive analytics with useful integration features and helpful plugins

I have used Alteryx Designer to perform predictive analytics that helps in predicting the selling of products, particularly in banking and financial areas The main valuable aspect is the simplicity of use across all features. Additionally, I have developed some functionality to integrate Alteryx…

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Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

Starts strong with data management capabilities but needs a demo database

What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

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

"Alteryx Designer's user interface is great, as it is very user-friendly."

"It helps them to create customized workflows, transform data, perform calculations, and consolidate multiple data sources into a target database."

"The solution is easy to integrate and user-friendly."

"Alteryx Designer is easier to use for machine learning models. However, I am not very good at Python scripts which you will need to make the machine learning scripts."

"I like Alteryx's browser tool because you can view how your data is handled live. There are many other valuable tools like transpose and the crosstab. You can quickly pivot your data, and there are connections throughout the database. It's so easy to create a connection. If you connect to sign apps or a more complex database, the tool contains all the tools you need."

"The solution's ability to hold a huge amount of data in its memory is significant."

"The most valuable feature of Alteryx Designer is its ability to select all the inputs and formulas."

"I have been using Alteryx Designer only for data modeling and data structuring."

More Alteryx Designer pros

"Cloud Pak is a very, very, very good system."

"The most valuable features are data virtualization and reporting."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

"IBM Cognos is very stable and has been around for many years, with many users familiar with it, making it a reliable solution for our institution."

"IBM Watson Catalog and data pipelines are the most valuable features of the solution."

"Its data preparation capabilities are highly valuable."

"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

More IBM Cloud Pak for Data pros

Cons

"Optimizing processing times is one area I would like to see improved in Alteryx Designer. Sometimes, the workflows take an extremely long time to run. There are days when I have had to wait two to three hours for a single process to complete. There needs to be a functionality to split the processes."

"I would like to be able to include small snippets of code inside of the solution. The tool has only drag-and-drop features to make it easy to use, but sometimes I feel like this makes it more complicated."

"Alteryx Designer's cost should be improved."

"The product could offer more connectors and more databases with support for the in-database function."

"For smaller clients with ten to 15 employees, Alteryx can be expensive."

"When it comes to the pivoting part, the drill-through option is not there in Alteryx."

"The major concern in Alteryx Designer stems from the high costs attached to the product."

"Its price can be improved. It is too expensive for our country. Because of its high price, we can't sell Alteryx Designer in this region. We used to be their reseller partner. There is also an additional cost for automating the data and running the flows, which makes it even more expensive. It will be very good if they can let users automate the data for free. Other solutions like Tableau provide this feature for free."

More Alteryx Designer cons

"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."

"The product must improve its performance."

"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."

"The solution could have more connectors."

"The setup for IBM Cloud Pak for Data is very complex, and our teams responsible for standing up the environment struggled a lot."

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

"Alteryx Designer is an expensive solution."

"I rate Alteryx Designer a six out of ten for pricing."

"The tool is priced high."

"Each license is something like $4,000."

"Alteryx Designer is a very expensive solution."

"The solution is expensive. It has license fees, which are renewable every year."

"Alteryx is a little bit expensive compared to competing solutions."

"Alteryx Designer is an expensive solution."

More Alteryx Designer pricing and cost advice

"The solution is expensive."

"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."

"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."

"The solution's pricing is competitive with that of other vendors."

"I think that this product is too expensive for smaller companies."

"It's quite expensive."

"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."

"Cloud Pak's cost is a little high."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Manufacturing Company

12%

Computer Software Company

Energy/Utilities Company

Financial Services Firm

27%

Manufacturing Company

10%

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	3
Large Enterprise	17

By reviewers
Company Size	Count
Small Business	7
Large Enterprise	10

Questions from the Community

What do you like most about Alteryx Designer?

When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis.

See all answers

What is your experience regarding pricing and costs for Alteryx Designer?

It's cheaper than Palantir, but even Alteryx is too much for small clients. It is expensive, considering the server capabilities.

See all answers

What needs improvement with Alteryx Designer?

For smaller clients with ten to 15 employees, Alteryx can be expensive. The server capabilities are costly too. The technical support could also improve by being quicker in response times.

See all answers

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

The pricing and setup cost are handled by a different procurement team. Our IT procurement team is centralized, so licensing and the actual cost of the software are taken care of by a different tea...

See all answers

What needs improvement with IBM Cloud Pak for Data?

I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.

See all answers

What is your primary use case for IBM Cloud Pak for Data?

The main use case for IBM Cognos is for business intelligence and reporting.

See all answers

Comparisons

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Compared 12% of the time

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Compared 11% of the time

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Compared 7% of the time

Palantir Foundry vs Alteryx Designer

Compared 6% of the time

Qlik Talend Cloud vs Alteryx Designer

Compared 5% of the time

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IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 41% of the time

Denodo vs IBM Cloud Pak for Data

Compared 13% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 9% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 7% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 6% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Alteryx Designer

January 2026

Download Alteryx Designer product report

Buyer's Guide

IBM Cloud Pak for Data

January 2026

Download IBM Cloud Pak for Data product report

Also Known As

No data available

Cloud Pak for Data

Overview

Information not available

Alteryx

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM

Sample Customers

Information Not Available

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Buyer's Guide

Alteryx Designer vs. IBM Cloud Pak for Data

December 2025

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