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IBM Cloud Pak for Data vs SAS Access 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 #57. IBM holds a 1.7% mindshare in DI, compared to SAS’s 0.3% mindshare. Additionally, 85% of IBM users are willing to recommend the solution, compared to 100% 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 Access
Read 3 SAS Access reviews
  • 302 Views
  • 255 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAS Access and IBM Cloud Pak for Data are competitors in the data management and analytics space. IBM Cloud Pak for Data appears superior due to its comprehensive suite of analytic tools, offering extensive data processing capabilities.

Features: SAS Access integrates with varied data sources, offers robust connectivity, and is ideal for specific integrations. IBM Cloud Pak for Data provides an end-to-end solution, supports multi-cloud environments, and offers AI-driven analytics, making it versatile for complex data environments.

Ease of Deployment and Customer Service: SAS Access is noted for straightforward deployment and reliable customer support, beneficial for organizations with limited IT resources. IBM Cloud Pak for Data uses containerized deployment, offering flexibility for cloud-native architectures but requires more infrastructure expertise.

Pricing and ROI: SAS Access has a lower initial setup cost, supporting quicker ROI for smaller projects. IBM Cloud Pak for Data demands higher investment but offers potentially higher ROI through extended capabilities, suitable for large-scale deployments.

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To learn more, read our detailed IBM Cloud Pak for Data vs. SAS Access Report (Updated: December 2024).
Buyer's Guide
IBM Cloud Pak for Data vs. SAS Access
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
6.6
Number of Reviews
12
Ranking in other categories
Data Virtualization (3rd)
SAS Access
Ranking in Data Integration
57th
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

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 Access is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Murali B - PeerSpot reviewer
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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Robert Heck - PeerSpot reviewer
The solution is stable, scalable, and flexible
I rate the solution eight out of ten. The number of people required to maintain the solution is dependent on the other applications running. The solution in itself does not require a lot of maintenance. The solution is flexible and I recommend it when you have more complex applications with special requirements.
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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

"Scalability-wise, I rate the solution a nine or ten out of ten."
"DataStage allows me to connect to different data sources."
"IBM Watson Catalog and data pipelines are the most valuable features of the solution."
"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."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"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."
"Its data preparation capabilities are highly valuable."
"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."
More IBM Cloud Pak for Data pros
"The most valuable feature is you have native access to the external databases."
"The most valuable aspect of the solution is the ease of access to the data in those databases."
"The most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment."
 

Cons

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."
"The solution could have more connectors."
"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."
"The solution's catalog searching or map search needs to be improved."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"The technical support could be a little better."
"The solution's user experience is an area that has room for improvement."
More IBM Cloud Pak for Data cons
"I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."
"The pricing model needs to be reconsidered and adjusted."
"The solution can provide access to the newer databases that come out sooner."
 

Pricing and Cost Advice

"I think that this product is too expensive for smaller companies."
"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."
"Cloud Pak's cost is a little high."
"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."
"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."
"The solution's pricing is competitive with that of other vendors."
"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
"The solution's pricing and licensing are expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
11%
Manufacturing Company
9%
Government
7%
Financial Services Firm
25%
Manufacturing Company
11%
Computer Software Company
10%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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
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Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data Logo
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 Logo
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 Logo
Azure Data Factory vs IBM Cloud Pak for Data
Compared 16% of the time
Denodo vs IBM Cloud Pak for Data Logo
Denodo vs IBM Cloud Pak for Data
Compared 8% of the time
Palantir Foundry vs IBM Cloud Pak for Data Logo
Palantir Foundry vs IBM Cloud Pak for Data
Compared 5% of the time
More IBM Cloud Pak for Data Competitors
No data available
 

Product Reports

Buyer's Guide
IBM Cloud Pak for Data
December 2024
IBM Cloud Pak for Data reportDownload IBM Cloud Pak for Data product report
Buyer's Guide
Data Integration
December 2024
SAS Access reportDownload SAS Access product report
 

Also Known As

Cloud Pak for Data
SAS/Access
 

Learn More

IBM
Video not available
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.

SAS/ACCESS is an out-of-the-box solution for integrating SAS and third-party databases. You can read, write and update data regardless of the database or platform. Because the data appears native to SAS, there is no need to learn Structured Query Language (SQL) or any other database-specific query languages.
 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
Buyer's Guide
IBM Cloud Pak for Data vs. SAS Access
December 2024
Free Report: IBM Cloud Pak for Data vs. SAS Access
Find out what your peers are saying about IBM Cloud Pak for Data vs. SAS Access and other solutions. Updated: December 2024.
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