IBM Cloud Pak for Data Reviews

Users experienced significant time savings and cost reduction from IBM Cloud Pak for Data. It simplified data management, resulting in faster insights and improved decision-making. Integration capabilities allowed smoother workflows and reduced manual processing. Automation features increased efficiency and minimized errors. Enhanced data governance helped mitigate risks, contributing to a better return on investment. The ability to scale resources dynamically catered to varying business requirements, providing flexibility and economic advantages.

IBM Cloud Pak for Data's pricing is often seen as high, with a subscription-based yearly license. While some find the cost competitive compared to Informatica and Precisely, others argue it's too expensive, especially for smaller companies. The pricing, often deemed fair for its functionality, includes standard license fees without extra charges. Larger enterprises may find the value justifiable, although overall costs and execution remain a concern for many.

• "The solution's pricing is competitive with that of other vendors."
• "The solution is expensive."
• "It's quite expensive."

Consultancy companies use IBM Cloud Pak for Data for data integration and advising clients. It is utilized in machine learning, data science, and creating data catalogues. FinTech and banking sectors deploy it for developing models like credit scoring and fraud control. Others focus on artificial intelligence, spend analytics, and contract analytics, particularly managing category strategies and supplier relationships. Projects in Mexico involve sales projections and store product renewals.

Customer service and support of IBM Cloud Pak for Data receive mixed feedback. Some find it helpful, with ratings between seven and nine out of ten, while others highlight slow response times. Organizations with direct connections to IBM report better experiences, although some note delays in ticket resolutions. Support is described as sufficient and strong enough without needing extra effort.

IBM Cloud Pak for Data's initial setup is complex and requires expertise. Integrating with different cloud services can be tricky. Users found the installation process not user-friendly and needing significant improvement. Deploying the platform can take months, and technical knowledge of containers and OpenShift is necessary. Some found it easier when leveraging external deployment assistance, while others noted connecting data sources as cumbersome. The ease of setup varies by deployment environment and user familiarity.

Users have found IBM Cloud Pak for Data scalable, with some rating its scalability as high as ten out of ten. It supports easy expansion via cloud infrastructure and containerization. Organizations currently using it report no significant issues with scaling. However, some users note it can be resource-intensive, and a few are still in the evaluation phase, assessing its full scalability potential. Generally recommended for medium to large-scale organizations.

IBM Cloud Pak for Data is generally stable. Users rate its stability between seven and nine out of ten. Some note that, like many large packages comprised of various tools, stability can be an issue, but they expect improvements over time. Companies testing the enterprise version agree it is stable. Most agree on its reliability, though some mention current issues needing resolution.