What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.
Software Consultancyy at a tech services company with 10,001+ employees
Real User
Mar 30, 2022
The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models.
IBM Cloud Pak for Data is a comprehensive platform integrating data management, AI, and machine learning capabilities tailored for hybrid environments. It's renowned for enhancing productivity through efficient data analytics and management.This platform offers data virtualization, robust analytics, and AI-driven processes. Its integration capabilities, including IBM MQ and App Connect, facilitate seamless data connections. Users benefit from containerization, data governance, and...
DataStage allows me to connect to different data sources.
Its data preparation capabilities are highly valuable.
Scalability-wise, I rate the solution a nine or ten out of ten.
It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten.
Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF.
You can model the data there, connect the data models with the business processes and create data lineage processes.
What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data.
One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance.
The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models.
The most valuable features are data virtualization and reporting.