IBM Cloud Pak for Data vs SAS Data Management comparison

IBM and SAS are both solutions in the Data Integration category. IBM is ranked #19 with an average rating of 8.3, while SAS is ranked #37 with an average rating of 7.5. IBM holds a 1.7% mindshare in DI, compared to SAS’s 0.8% mindshare. Additionally, 85% of IBM users are willing to recommend the solution, compared to 87% of SAS users who would recommend it.

IBM Cloud Pak for Data

Read 12 IBM Cloud Pak for Data reviews

3,325 Views
2,309 Comparison Views

85% willing to recommend

SAS Data Management

Read 16 SAS Data Management reviews

1,195 Views
995 Comparison Views

87% willing to recommend

IBM Cloud Pak for Data

SAS Data Management

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Cloud Pak for Data and SAS Data Management 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 IBM Cloud Pak for Data vs. SAS Data Management Report (Updated: December 2024).

Buyer's Guide

IBM Cloud Pak for Data vs. SAS Data Management

December 2024

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Categories and Ranking

IBM Cloud Pak for Data

Ranking in Data Integration

19th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

SAS Data Management

Ranking in Data Integration

37th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Quality (11th), Data Governance (26th)

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.7%, down from 1.8% compared to the previous year. The mindshare of SAS Data Management is 0.8%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

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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Vivek Trivedi

Head finance transformation at Ahli United Bank Ksc

Has robust data governance capabilities and efficient financial alerting features

The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.

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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 data virtualization and reporting."

"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."

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

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

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

"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."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

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

More IBM Cloud Pak for Data pros

"If you compare it to SQL, the memory and development times are very quick."

"The product offers very good flexibility."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"The technical support is excellent."

"I am impressed with the tool's ability to customize."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

"The tool is reliable, quick, and powerful."

More SAS Data Management pros

Cons

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

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

"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."

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

"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."

"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."

"The solution could have more connectors."

"The product must improve its performance."

More IBM Cloud Pak for Data cons

"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"Integration and cloud migration are areas where we see potential for improvement."

"I would like the tool to include the ability to automate the modifications of the integrations."

"The solution is quite expensive and hard to install/configure."

"The solution could use better documentation."

More SAS Data Management cons

Pricing and Cost Advice

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

"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."

"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 is expensive."

"It's quite expensive."

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

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

"The licensing model for vCenter is a perpetual license with yearly payments."

"The solution is expensive."

"The tool is a bit expensive."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

11%

Manufacturing Company

Insurance Company

Financial Services Firm

29%

Computer Software Company

13%

Insurance Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

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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...

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What do you like most about SAS Data Management?

I am impressed with the tool's ability to customize.

See all answers

What is your experience regarding pricing and costs for SAS Data Management?

The licensing model for vCenter is a perpetual license with yearly payments. This model ensures continuous updates and support while managing initial setup costs.

See all answers

What needs improvement with SAS Data Management?

Integration and cloud migration are areas where we see potential for improvement. A more seamless integration process and transitioning to a cloud-based environment would enhance user-friendliness ...

See all answers

Comparisons

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 20% 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

Informatica PowerCenter vs SAS Data Management

Compared 18% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 13% of the time

Palantir Foundry vs SAS Data Management

Compared 13% of the time

Ab Initio Co>Operating System vs SAS Data Management

Compared 10% of the time

SSIS vs SAS Data Management

Compared 10% of the time

More SAS Data Management Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

December 2024

Download IBM Cloud Pak for Data product report

Buyer's Guide

SAS Data Management

November 2024

Download SAS Data Management product report

Also Known As

Cloud Pak for Data

SAS Data Management Platform, Data Management Platform, DataFlux

Learn More

IBM

SAS

Overview

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.

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

IBM Cloud Pak for Data vs. SAS Data Management

December 2024

Free Report: IBM Cloud Pak for Data vs. SAS Data Management

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