Alteryx Designer vs IBM Cloud Pak for Data comparison

Alteryx and IBM are both solutions in the Data Integration category. Alteryx is ranked #12 with an average rating of 7.6, while IBM is ranked #18 with an average rating of 8.1. Alteryx holds a 3.1% mindshare in DI, compared to IBM’s 1.7% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 85% of IBM users who would recommend it.

Alteryx Designer

Read 31 Alteryx Designer reviews

5,587 Views
4,594 Comparison Views

89% willing to recommend

IBM Cloud Pak for Data

Read 12 IBM Cloud Pak for Data reviews

3,151 Views
2,229 Comparison Views

85% 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: January 2025).

Buyer's Guide

Alteryx Designer vs. IBM Cloud Pak for Data

January 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

12th

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

18th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of January 2025, in the Data Integration category, the mindshare of Alteryx Designer is 3.1%, down from 4.3% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.7%, down from 1.8% 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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Murali B

Associate Manager at Ernst & Young

Provides IBM Watson Catalog and data pipelines, but catalog searching needs to be improved

If people are with the existing stuff, I would definitely suggest they go with IBM Cloud Pak for Data. I usually recommend the solution for the financial sector, where I worked for about ten years. I worked with IBM for almost eight years. Unless they want to migrate to a new product completely, I recommend IBM Cloud Pak for Data to explore current business. It is easy to integrate the tool with other solutions. Except for metadata queries, metadata validations, and metadata integrations, I don't see any issues with the solution. I would recommend the solution to other users if it supports their existing infrastructure. Some people don't want to put their data in the cloud because they are concerned about how the data is secured with encryption and decryption. For such cases, we have listed out all the pros and cons of the solution to suggest them to users. Overall, I rate the solution a seven out of ten.

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Quotes from Members

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

Pros

"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."

"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."

"It has an easy setup process."

"Alteryx Designer's best features are that it's easy to use and performs well."

"We use Alteryx Designer for analytics. It's quite helpful because once we set it up, we don't have to manually update or process data repeatedly. It saves time, especially for financial reporting, which is typically done monthly or quarterly. Once we set it up initially, we only need to make occasional updates if necessary."

"Alteryx Designer is stable."

"Alteryx is quite easy to use, learn, and understand as a product."

More Alteryx Designer pros

"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."

"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."

"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."

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

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

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

"Its data preparation capabilities are highly valuable."

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

More IBM Cloud Pak for Data pros

Cons

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

"If the price were reduced then it would be more competitive."

"The price of the product is an area with certain shortcomings where improvements are required."

"We need more documentation."

"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."

"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."

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

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

More Alteryx Designer cons

"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."

"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."

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

"The solution could have more connectors."

"The solution's user experience is an area that has room for improvement."

"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 product must improve its performance."

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

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

"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."

"The pricing is bit expensive."

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

"Alteryx Designer is an expensive solution."

"The licenses are expensive, making it difficult to consider acquiring additional licenses to the existing ones."

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

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

More Alteryx Designer pricing and cost advice

"The solution is expensive."

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

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

"It's quite expensive."

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

"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."

"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."

"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

25%

Financial Services Firm

16%

Manufacturing Company

Computer Software Company

Financial Services Firm

28%

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?

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

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What needs improvement with Alteryx Designer?

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.

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 solution's pricing is competitive with that of other vendors. The pricing also depends on the number of users.

See all answers

What needs improvement with IBM Cloud Pak for Data?

Previously, we used to extract the information in the DSX and the XML formats. IBM Cloud Pak for Data exports information mostly on the ISX, which is an encrypted format. The only challenge with th...

See all answers

Comparisons

Azure Data Factory vs Alteryx Designer

Compared 34% 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 7% of the time

More Alteryx Designer Competitors

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 40% of the time

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

Compared 21% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 16% of the time

Denodo vs IBM Cloud Pak for Data

Compared 8% 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 2025

Download Alteryx Designer product report

Buyer's Guide

IBM Cloud Pak for Data

December 2024

Download IBM Cloud Pak for Data product report

Also Known As

No data available

Cloud Pak for Data

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Alteryx

IBM

Overview

Information not available

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.

Sample Customers

Information Not Available

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Buyer's Guide

Alteryx Designer vs. IBM Cloud Pak for Data

January 2025

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

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