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Alteryx One vs IBM Cloud Pak for Data comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 16, 2026

Review summaries and opinions

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

ROI

Sentiment score
6.6
Alteryx delivers quick ROI with enhanced efficiency, justifying higher costs through automation, time savings, and improved data accuracy.
Sentiment score
5.1
Users see improved efficiency and ROI with IBM Cloud Pak for Data, streamlining management and boosting compliance and satisfaction.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
Senior Rpa Consultant at a computer software company with 51-200 employees
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Chief Information Officer at granistr
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
Engineer at Turner Construction
 

Customer Service

Sentiment score
7.1
Alteryx's support is praised for responsiveness and community, though some note occasional delays and varied support quality.
Sentiment score
7.1
IBM Cloud Pak for Data's support is responsive, rated highly, and cost-effective, but lacks local language options and has occasional delays.
Customer support from Alteryx has been amazing.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
Senior Analyst at Guardian India Operation
I contacted customer support once or twice, and they were quick to respond.
Experience Technocrat driving IT initiatives at WISDOMBOWL
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
The customer support for IBM Cloud Pak for Data is great and responsive.
Engineer at Turner Construction
The response time for IBM's technical support is excellent.
Sales Director at Jordan Business Systems
 

Scalability Issues

Sentiment score
7.2
Alteryx is scalable for enterprise needs, handling large datasets efficiently, but cost and Designer limitations are concerns.
Sentiment score
6.6
IBM Cloud Pak for Data is scalable, efficiently managing growth and large data, with high resource use noted.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Senior Rpa Consultant at a computer software company with 51-200 employees
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is scalable, and I would give it eight out of ten.
Experience Technocrat driving IT initiatives at WISDOMBOWL
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
Engineer at Turner Construction
 

Stability Issues

Sentiment score
7.8
Alteryx is praised for its stability and reliability, especially with large datasets, outperforming competitors in speed and consistency.
Sentiment score
7.8
IBM Cloud Pak for Data is stable with positive performance and integration, though scalability improvements are desired by some users.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
Software Engineer at a computer software company with 10,001+ employees
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Legal Coordinator at a transportation company with 10,001+ employees
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
Senior Analyst at Guardian India Operation
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Sales Director at Jordan Business Systems
 

Room For Improvement

Alteryx needs better database connectivity, visualization, pricing, cloud deployment, documentation, and user interface for improved usability and performance.
IBM Cloud Pak for Data needs better integration, enhanced performance, simplified setup, cost management, and improved analytics for broader adoption.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
Legal Coordinator at a transportation company with 10,001+ employees
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
Senior Capacity Planner at a financial services firm with 10,001+ employees
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
Senior Consultant at a consultancy with 201-500 employees
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Engineer at Turner Construction
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
Senior Project Manager at EY
 

Setup Cost

Alteryx is praised for features but noted for high costs, leading some to seek affordable alternatives for smaller teams.
IBM Cloud Pak for Data is costly, suitable for large enterprises, with pricing based on usage and deployment.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
Senior Rpa Consultant at a computer software company with 51-200 employees
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Software Engineer at a computer software company with 10,001+ employees
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
The list price is high, but the flexibility in pricing is adequate.
Solution Manager at Intalion
 

Valuable Features

Alteryx offers automation, user-friendly drag-and-drop features, enabling efficient data processing, predictive analytics, and geospatial analysis for diverse industries.
IBM Cloud Pak for Data enhances productivity with AI tools, data governance, and seamless integration across hybrid and multi-cloud environments.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Chief Information Officer at granistr
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Senior Consultant at a consultancy with 201-500 employees
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
Senior Rpa Consultant at a computer software company with 51-200 employees
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro Limited
 

Categories and Ranking

Alteryx One
Ranking in Data Integration
11th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
119
Ranking in other categories
Predictive Analytics (2nd), Data Science Platforms (4th), Data Preparation Tools (1st)
IBM Cloud Pak for Data
Ranking in Data Integration
17th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
20
Ranking in other categories
Data Virtualization (3rd)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Alteryx One is 1.2%, down from 2.0% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.0%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Alteryx1.2%
IBM Cloud Pak for Data1.0%
Other97.8%
Data Integration
 

Featured Reviews

ManojBehera - PeerSpot reviewer
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Automated complex ETL workflows have reduced coding effort and improved data integration
One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements. Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data. The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me. We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.
ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
7%
Financial Services Firm
17%
Manufacturing Company
11%
Outsourcing Company
6%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise20
Large Enterprise73
By reviewers
Company SizeCount
Small Business10
Large Enterprise20
 

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 is your experience regarding pricing and costs for IBM Cloud Pak for Data?
My experience with pricing, setup cost, and licensing is that the cost of the product can be a bit higher, especially for a company working on a tight budget.
What needs improvement with IBM Cloud Pak for Data?
One of the improvements I think should be made to IBM Cloud Pak for Data is that the cost of the product is a bit higher. Besides cost, I think something that is needed for improvement is that more...
What is your primary use case for IBM Cloud Pak for Data?
My main use case for IBM Cloud Pak for Data is that it is fully scalable and a scalable platform for data. I use it to provide data solutions for my customers. I also use it to provide various indu...
 

Also Known As

Alteryx Designer Cloud, Alteryx Designer
Cloud Pak for Data
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Qatar Development Bank, GuideWell, Skanderborg Music Festival
Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
917,181 professionals have used our research since 2012.