Denodo is used for data virtualization, helping organizations aggregate and integrate from sources like cloud services and databases. It excels in data abstraction, caching, and semantic layering. Users praise its UI and query optimization but seek better training, documentation, and enhanced connectivity with AWS and GCP. Some find it complex and costly.
I don't know the actual cost, but it's tens of thousands of dollars per month.
The licensing should be improved, as the cost per connector is quite expensive.
I don't know the actual cost, but it's tens of thousands of dollars per month.
The licensing should be improved, as the cost per connector is quite expensive.
IBM Cloud Pak for Data excels in fintech sectors for tasks like data governance, integration, and AI model development. Key features include Watson Knowledge Catalog, DataStage, and AI lifecycle management. Users seek improved performance, easier installations, and better integration. Interface speed and on-premises migration are challenges, with desired enhancements in data governance.
I think that this product is too expensive for smaller companies.
Cloud Pak's cost is a little high.
I think that this product is too expensive for smaller companies.
Cloud Pak's cost is a little high.
