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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 #18 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
  • 3,491 Views
  • 2,410 Comparison Views
85% willing to recommend
SAS Access
Read 3 SAS Access reviews
  • 317 Views
  • 268 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between IBM Cloud Pak for Data and SAS Access 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.

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To learn more, read our detailed IBM Cloud Pak for Data vs. SAS Access Report (Updated: October 2024).
Buyer's Guide
IBM Cloud Pak for Data vs. SAS Access
October 2024
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Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
18th
Average Rating
8.0
Number of Reviews
12
Ranking in other categories
Data Virtualization (3rd)
SAS Access
Ranking in Data Integration
57th
Average Rating
9.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 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
Jul 12, 2024
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
Sep 22, 2022
The solution is stable, scalable, and flexible
The solution is an access module that allows connections to external databases, such as Oracle, with a side base, with an Ingres informing, SAP, or Oracle financials. The native interfaces with a graphical user interface allow direct navigation of the other databases The most valuable feature is…
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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

"Its data preparation capabilities are highly valuable."
"DataStage allows me to connect to different data sources."
"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."
"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."
"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."
"IBM Watson Catalog and data pipelines are the most valuable features of the solution."
"The most valuable features are data virtualization and reporting."
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 solution's catalog searching or map search needs to be improved."
"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 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."
"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 product must improve its performance."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
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 solution can provide access to the newer databases that come out sooner."
"The pricing model needs to be reconsidered and adjusted."
 

Pricing and Cost Advice

"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 is expensive."
"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."
"The solution's pricing is competitive with that of other vendors."
"It's quite expensive."
"Cloud Pak's cost is a little high."
"The solution's pricing and licensing are expensive."
"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
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Top Industries

By visitors reading reviews
Financial Services Firm
28%
Computer Software Company
11%
Manufacturing Company
8%
Insurance Company
6%
Financial Services Firm
26%
Manufacturing Company
11%
Computer Software Company
11%
Government
6%
 

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...
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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 43% 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 17% 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 4% of the time
More IBM Cloud Pak for Data Competitors
No data available
 

Product Reports

Buyer's Guide
IBM Cloud Pak for Data
October 2024
IBM Cloud Pak for Data reportDownload IBM Cloud Pak for Data product report
Buyer's Guide
Data Integration
October 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
October 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: October 2024.
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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.