We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I think that this product is too expensive for smaller companies."
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.
An enterprise data virtualization solution that orchestrates access to multiple and varied data sources and delivers the datasets and IT-curated data services foundation for nearly any solution.
IBM Cloud Pak for Data is ranked 3rd in Data Virtualization with 1 review while TIBCO Data Virtualization is ranked 7th in Data Virtualization. IBM Cloud Pak for Data is rated 5.0, while TIBCO Data Virtualization is rated 0.0. 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, IBM Cloud Pak for Data is most compared with Azure Data Factory, Palantir Foundry, Denodo and Mule Anypoint Platform, whereas TIBCO Data Virtualization is most compared with Denodo.
See our list of best Data Virtualization vendors.
We monitor all Data Virtualization 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.