Alteryx Designer vs IBM Cloud Pak for Data comparison

Alteryx and IBM are both solutions in the Data Integration category. Alteryx is ranked #11 with an average rating of 7.6, while IBM is ranked #16 with an average rating of 8.2. Alteryx holds a 2.6% mindshare in DI, compared to IBM’s 1.8% 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

4,614 Views
3,663 Comparison Views

89% willing to recommend

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,778 Views
1,932 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: April 2025).

Buyer's Guide

Alteryx Designer vs. IBM Cloud Pak for Data

April 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

11th

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

16th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Alteryx Designer is 2.6%, down from 3.6% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.8%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Ajay Nayak

Senior Data Engineer at Baxter International Inc.

An easy-to-use automation solution with satisfying customer support

Sometimes, while getting data from a third-party product, like data sources that are not present in your system, Alteryx works a bit slowly. Even if you have a good configuration and you are pulling data from an SQL server like SAP, then the solution also has a slow work process. It shouldn't be that much slow if you are pulling ten thousand records, it should not take thirty minutes.

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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 product is intuitive and easy to use."

"The tool's most valuable feature is its API connections. Its predictive analytics feature has helped us pass some ETL processes to analysts rather than developers."

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

"I like Alteryx Designer's drag-and-drop feature, where you drag a component, configure it and quickly run it."

"Alteryx Designer is a tool that is pretty much easy to install."

"Alteryx Designer is stable."

"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."

More Alteryx Designer pros

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

"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."

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

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

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

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

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

"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."

More IBM Cloud Pak for Data pros

Cons

"Alteryx's data science and machine learning capabilities are where it loses out to DataIQ."

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

"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 is not as fast as SSIS and is not good for large datasets. It also needs to improve database procedures. Though it is easy to use, it is limited in terms of technical aspects."

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

"Improving the key-based sign-on process and making it more user-friendly would be a benefit."

"Its cost can sometimes be a drawback."

"Alteryx could move faster to create a cloud equivalent of the desktop version of Designer."

More Alteryx Designer cons

"The product must improve its performance."

"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."

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

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

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

"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 technical support could be a little better."

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

"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."

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

"Alteryx Designer is an expensive solution."

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

"The tool is priced high."

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

"Alteryx Designer is a very expensive solution."

"I rate the price of Alteryx Designer a ten on a scale of one to ten, where one is low price and ten is high price."

More Alteryx Designer pricing and cost advice

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

"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."

"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."

"It's quite expensive."

"The solution is 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."

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Top Industries

By visitors reading reviews

Educational Organization

22%

Financial Services Firm

17%

Manufacturing Company

Computer Software Company

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing 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.

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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 31% of the time

SSIS vs Alteryx Designer

Compared 10% of the time

FME vs Alteryx Designer

Compared 9% 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 16% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 12% of the time

Denodo vs IBM Cloud Pak for Data

Compared 11% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 7% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Alteryx Designer

April 2025

Download Alteryx Designer product report

Buyer's Guide

IBM Cloud Pak for Data

April 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

April 2025

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

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