"The most valuable features are data virtualization and reporting."
"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."
"The most valuable aspect of the solution is the ease of access to the data in those databases."
"The technical support could be a little better."
"The pricing model needs to be reconsidered and adjusted."
"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."
Earn 20 points
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.
IBM Cloud Pak for Data is ranked 41st in Data Integration Tools with 1 review while SAS Access is ranked 23rd in Data Integration Tools with 2 reviews. IBM Cloud Pak for Data is rated 5.0, while SAS Access is rated 9.6. The top reviewer of IBM Cloud Pak for Data writes "Good reporting, but resource utilization is high and technical support can be improved". On the other hand, the top reviewer of SAS Access writes "Connect databases and create access to simplify complex processes with this powerful tool". IBM Cloud Pak for Data is most compared with Azure Data Factory, Palantir Foundry, Denodo and Mule Anypoint Platform, whereas SAS Access is most compared with Talend Open Studio, Mule Anypoint Platform, Toad Data Point, Denodo and Informatica PowerCenter.
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