User Reviews of Azure Data Factory & Pentaho Data Integration and Analytics
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,...
Pentaho Data Integration and Analytics review
Jacopo Zaccariotto
Head of Data Engineering at InfoCert
The drag-and-drop interface makes it easier to use than some competing products
It's difficult to use custom code. Implementing a pipeline with pre-built blocks is straightforward, but it's harder to insert custom code inside the pre-built blocks. The web interface is rusty, and the biggest problem with Pentaho is debugging and troubleshooting. It isn't easy to build the pipeline incrementally. At least in our case,...
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