Alteryx Designer vs IBM Cloud Pak for Data comparison

Alteryx and IBM are both solutions in the Data Integration category. Alteryx is ranked #10 with an average rating of 7.6, while IBM is ranked #24 with an average rating of 8.0. Alteryx holds a 2.4% mindshare in DI, compared to IBM’s 1.9% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Alteryx Designer

Read 31 Alteryx Designer reviews

4,004 Views
2,817 Comparison Views

89% willing to recommend

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,494 Views
1,410 Comparison Views

86% 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: June 2025).

Buyer's Guide

Alteryx Designer vs. IBM Cloud Pak for Data

June 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

10th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Cloud Pak for Data

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of June 2025, in the Data Integration category, the mindshare of Alteryx Designer is 2.4%, down from 3.4% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.9%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

AHMAD FAIRUZ BIN ALI

Head of Data Analytics COE at bank islam

Able to hold a huge amount of data in its memory, but it is very expensive

We had challenges with a very complex workflow, and we couldn't find the root cause because it caused an error in the output. We recreated the workflow, and it solved the problem. Alteryx Designer integrated seamlessly with other tools and systems in our workflow. It's not convenient for us to develop any machine learning model using Alteryx Designer. Other data science studio tools are much more advanced than the data science studio tools in Alteryx. We do maintenance on our workflow, but we try to be careful with the upgrades because we don't want any upgrades to impact our production workflows. One or two people are needed to maintain the solution. Overall, I rate the solution a seven out of ten.

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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

"Workflow automation, in general, is valuable."

"The most valuable features are the integrated properties and integrated connectivity."

"For my daily analytics needs, the entire Alteryx Designer platform is beneficial."

"The product is intuitive and easy to use."

"The main valuable aspect is the simplicity of use across all features."

"The product is very stable. The performance is reliable."

"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."

"The product offers very good analytics."

More Alteryx Designer pros

"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."

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

"DataStage allows me to connect to different data sources."

"Scalability-wise, I rate the solution a nine or ten out of ten."

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

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

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."

More IBM Cloud Pak for Data pros

Cons

"The actual usage part of it needs to be explained more. It's too vague right now."

"Alteryx Designer overall should be easier to use."

"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."

"Based on my experience, the tool could be improved by providing sample reports or pre-configured workflows tailored to specific industries, like finance. It needs to integrate an AI chatbot as well."

"Alteryx Designer's pricing and support could be improved."

"The only thing is sometimes it can be a bit slow."

"An improvement for Alteryx Designer would be faster bug fixes and updates."

"It is challenging to view the data using Alteryx Designer."

More Alteryx Designer cons

"The solution's catalog searching or map search needs to be improved."

"The technical support could be a little better."

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

"The solution could have more connectors."

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

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."

"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."

"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

"The product is a bit expensive, it should be looked into."

"Alteryx Designer is an expensive solution."

"I rate the price of Alteryx Designer as a five on a scale of one to ten, where one is extremely expensive, and ten is a highly cheap product."

"Alteryx Designer is an expensive solution."

"The tool is priced high."

"I rate the product's pricing a two to three out of ten."

"It is too expensive for our country. We are a small country, so it is too difficult to sell this solution. With Alteryx Designer, if you want to automate the data and run the flows, you have to pay more money. We were trying to automate the flows, and we found out that people have to pay 600 more for this feature, which makes it even more expensive. We are a partner for Tableau, and we are working with Tableau Prep, which is like a mini Alteryx. In Tableau Prep, you can drag and drop and make new connections with the different data sources. You can make all the connections. You can also publish a source. You don't have to pay more money with Tableau. You pay like $5 per user per month to access it."

"The pricing is bit expensive."

More Alteryx Designer pricing and cost advice

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

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

"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."

"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."

"It's quite expensive."

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

"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."

"The solution is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Educational Organization

14%

Computer Software Company

Manufacturing Company

Financial Services Firm

30%

Manufacturing Company

10%

Computer Software Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

See all answers

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

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.

See all answers

What needs improvement with IBM Cloud Pak for Data?

See all answers

Comparisons

Azure Data Factory vs Alteryx Designer

Compared 29% of the time

SSIS vs Alteryx Designer

Compared 11% of the time

FME vs Alteryx Designer

Compared 8% of the time

Informatica PowerCenter vs Alteryx Designer

Compared 7% of the time

SnapLogic vs Alteryx Designer

Compared 6% of the time

More Alteryx Designer Competitors

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 41% of the time

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

Compared 15% of the time

Denodo vs IBM Cloud Pak for Data

Compared 13% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 10% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 9% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Alteryx Designer

June 2025

Download Alteryx Designer product report

Buyer's Guide

IBM Cloud Pak for Data

June 2025

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

June 2025

Free Report: Alteryx Designer vs. IBM Cloud Pak for Data

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