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 #18 with an average rating of 8.3. Alteryx holds a 3.3% 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 30 Alteryx Designer reviews

6,218 Views
5,165 Comparison Views

89% willing to recommend

IBM Cloud Pak for Data

Read 12 IBM Cloud Pak for Data reviews

3,491 Views
2,410 Comparison Views

85% willing to recommend

Alteryx Designer

IBM Cloud Pak for Data

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Alteryx Designer and IBM Cloud Pak for Data based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Alteryx Designer vs. IBM Cloud Pak for Data Report (Updated: October 2024).

Buyer's Guide

Alteryx Designer vs. IBM Cloud Pak for Data

October 2024

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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

18th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Alteryx Designer is 3.3%, 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

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

"It has an easy setup process."

"It has great UI."

"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."

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

"One of the things I like about Alteryx Designer is how easy it is to connect numerous data inputs, including API connectors. This helps tremendously in reducing the time required to extract data from systems like SAP that don't have straightforward connectivity options."

"The functionality of drag and drop is the most valuable. It is a very user-friendly tool that can be understood easily. My teams also work with other solutions, such as Integration Services, and these solutions are very difficult for people who don't have technical knowledge."

"The features I found most valuable are the preparation features – the Join and the Transform."

More Alteryx Designer pros

"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."

"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."

"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."

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

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

"Its data preparation capabilities are highly valuable."

"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."

More IBM Cloud Pak for Data pros

Cons

"We discontinued using Alteryx's data science studio because it was not very user-friendly."

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

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

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

"Its cost can sometimes be a drawback."

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

"Sometimes, while getting data from a third-party product, the solution works slowly."

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."

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

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

"The technical support could be a little better."

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

"The solution could have more connectors."

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

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

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

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

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

"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 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."

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

"The tool is priced high."

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

More Alteryx Designer pricing and cost advice

"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."

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

"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."

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

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

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Top Industries

By visitors reading reviews

Educational Organization

24%

Financial Services Firm

16%

Manufacturing Company

Computer Software Company

Financial Services Firm

28%

Computer Software Company

11%

Manufacturing Company

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?

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

See all answers

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 35% of the time

SSIS vs Alteryx Designer

Compared 10% of the time

FME vs Alteryx Designer

Compared 10% 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 42% of the time

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

Compared 19% 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 5% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Alteryx Designer

November 2024

Download Alteryx Designer product report

Buyer's Guide

IBM Cloud Pak for Data

November 2024

Download IBM Cloud Pak for Data product report

Also Known As

No data available

Cloud Pak for Data

Learn More

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

October 2024

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

Find out what your peers are saying about Alteryx Designer vs. IBM Cloud Pak for Data and other solutions. Updated: October 2024.

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