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 generally seen as high, with costs depending on usage, data volume, and deployment mode. It's primarily targeted at larger enterprises, offering competitive rates compared to rivals like Informatica and Precisely, though still expensive for smaller companies. Customers face yearly subscription fees, which can vary based on user count. While execution costs are seen as reasonable, the overall expense, including setup and training, often rates high on the cost scale.

• "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 supports machine learning, data science, and data governance across sectors like FinTech and banking. It assists in developing models for credit scoring and fraud control, while also enhancing artificial intelligence for projects like e-commerce. Organizations use IBM Cloud Pak for data quality, data lineage, spend analytics, contract analysis, and supplier relationship management, focusing on reference data stewardship and data catalog creation.

IBM Cloud Pak for Data's customer service receives praise for being generally good yet occasionally slow, with ratings often between seven and nine out of ten. Direct partner contacts help enhance response efficiency, though some encounter delays in resolving complex issues due to the system's intricacy. Organizations appreciate strong initial support lines and find a typical response time of 24 to 48 hours satisfactory. Nonetheless, there is room for improvement in response speed and problem-solving efficiency.

IBM Cloud Pak for Data's initial setup is generally described as complex and not very user-friendly, requiring expertise in containers and OpenShift. Deployment on IBM Cloud is easier compared to Amazon AWS or Microsoft Azure, though connecting data sources can be challenging. Typically, setup takes one to three months, needing multiple personnel and sometimes integration partner support. Initial ratings vary, with some rating it a seven or eight out of ten, noting improvements over time.

IBM Cloud Pak for Data is regarded as scalable by users, who appreciate its containerization and resource expansion capabilities. While it is efficient, concerns are noted about resource usage. Testers are still assessing scalability, some organizations have scaled usage successfully. Ratings for scalability are high, often between eight and ten out of ten. The cloud infrastructure eases scaling efforts, with some users leveraging it across a wide range of usage scenarios. Organizations recommend it for medium to large-scale operations.

IBM Cloud Pak for Data is generally considered stable by users, though its combination of different tools can occasionally raise concerns. Most rate its stability between eight and nine out of ten. While some users report experiencing issues, there is optimism about its potential improvement over time. Many are testing the enterprise version and find it reliable. They suggest that as scalability improves, it could fulfill a wide range of organizational needs.