User Reviews of Azure Data Factory & IBM Cloud Pak for Data
Updated March 2024
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Azure Data Factory review
Thulani David Mngadi
Data architect at Old Mutual
Data flow feature is valuable for data transformation tasks
The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors,...
IBM Cloud Pak for Data review
Murali B
Data Engineer at Ernst & Young
Stable, with a containerization feature, and a helpful community
One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak...
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