Discover the top alternatives and competitors to IBM Cloud Pak for Data based on the interviews we conducted with its users.
The top alternative solutions include SAP HANA, Denodo, and TIBCO Data Virtualization.
The alternatives are sorted based on how often peers compare the solutions.
IBM Alternatives Report
Learn what solutions real users are comparing with IBM, and compare use cases, valuable features, and pricing.
SAP HANA stands out for its scalability and real-time processing but has high resource requirements and complex licensing. In comparison, IBM Cloud Pak for Data excels with integration capabilities and user satisfaction, though it needs better documentation and usability enhancements.
SAP HANA's setup cost often requires significant investment upfront, while IBM Cloud Pak for Data has a more flexible, subscription-based setup cost model. SAP HANA appeals to larger enterprises, whereas IBM Cloud Pak for Data attracts businesses seeking cost-effective solutions.
SAP HANA's setup cost often requires significant investment upfront, while IBM Cloud Pak for Data has a more flexible, subscription-based setup cost model. SAP HANA appeals to larger enterprises, whereas IBM Cloud Pak for Data attracts businesses seeking cost-effective solutions.
Denodo excels in data virtualization, offering seamless data integration at reasonable costs, with commendable customer service and straightforward deployment. In comparison, IBM Cloud Pak for Data provides a comprehensive suite of data services, including AI-powered tools, justifying higher initial costs with extensive features and strong ROI.
Denodo users find setup costs to be high but manageable, while IBM Cloud Pak for Data users often cite significantly higher initial costs. Denodo's setup expenses are a common highlight in reviews compared to the substantial investment required for IBM Cloud Pak for Data.
Denodo users find setup costs to be high but manageable, while IBM Cloud Pak for Data users often cite significantly higher initial costs. Denodo's setup expenses are a common highlight in reviews compared to the substantial investment required for IBM Cloud Pak for Data.
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.