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IBM Cloud Pak for Data vs SAS Data Integration Server comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

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)
SAS Data Integration Server
Ranking in Data Integration
41st
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.0%, down from 1.8% compared to the previous year. The mindshare of SAS Data Integration Server is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
IBM Cloud Pak for Data1.0%
SAS Data Integration Server0.9%
Other98.1%
Data Integration
 

Featured Reviews

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.
NN
Works at a financial services firm with 5,001-10,000 employees
Offloads processes on the server side but needs better installation syntax
One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference between two dates, the general syntax in SAS is called the data difference or data net function. However, another name is used, such as NF and INK. Without knowledge of SAS programming, it becomes unclear what these functions mean. It is not good to define function names this way.

Quotes from Members

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

Pros

"If you need to connect multiple data sources, ingest data and run AI/ML algorithm, IBM Cloud Pak for Data is very good solution."
"I would advise others looking into using IBM Cloud Pak for Data that it is a very great tool that is an all-in-one, real-time data analytics solution that provides a phenomenal user experience."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"DataStage allows me to connect to different data sources."
"The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good, the customers I have are all very happy, they are looking for expansion, and the experience is very good with it, providing them with the results needed and more."
"IBM Cloud Pak for Data is a very useful tool because it has the entire gamut of tools, starting from collecting the data from various sources using direct integration or through data virtualization and then organizing it into catalogs and applying their organization's policies or if they have other enforcement policies on top of that."
"IBM Cloud Pak for Data is a powerful cloud-native all-in-one easy-to-use solution that enables us to put data to work quickly and effectively."
"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."
"The most valuable feature of the solution is its amazing capabilities in regard to data handling."
"The solution is very stable."
"The solution offers very good data manipulation and loading."
"A key feature allows us to enhance job performance by offloading processing to the server side, rather than processing on the server itself."
 

Cons

"The two main challenges that I face are setup complexity and customer support responsiveness."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"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."
"The solution's catalog searching or map search needs to be improved."
"The solution's user experience is an area that has room for improvement."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"The product must improve its performance."
"So I would like to see improved integration with other software."
"The initial setup had issues, and even after using it for about one year, it was still not fixed."
"The initial setup of SAS Data Integration Server was complex."
"The transform tool has limited access. They should make it more flexible."
"One area for improvement is the installation process."
"Something that could improve is writing SQL to integration studio because it is not that straightforward. There should be better integration with other software."
 

Pricing and Cost Advice

"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."
"The solution's pricing is competitive with that of other vendors."
"The solution is expensive."
"It's quite expensive."
"Cloud Pak's cost is a little high."
"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."
"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 think that this product is too expensive for smaller companies."
"It is an expensive program."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
10%
Outsourcing Company
6%
Comms Service Provider
5%
Financial Services Firm
23%
Comms Service Provider
14%
Construction Company
13%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Large Enterprise20
No data available
 

Questions from the Community

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...
What needs improvement with SAS Data Integration Server?
One area for improvement is the installation process. Another point could be the syntax, as it sometimes involves using syntax names that are not intuitive. For example, to calculate the difference...
What is your primary use case for SAS Data Integration Server?
I am involved in the ETR job. My role is focused on executing the ETR job.
What advice do you have for others considering SAS Data Integration Server?
I use it without further details. For example, if I use SAS to connect to a NetEazt database or purchase a shared asset to ODBC, I can connect to any database with ODBC connection support. The over...
 

Also Known As

Cloud Pak for Data
SAS Enterprise Data Integration Server, Enterprise Data Integration Server
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about IBM Cloud Pak for Data vs. SAS Data Integration Server and other solutions. Updated: September 2026.
913,806 professionals have used our research since 2012.