User Reviews of Azure Data Factory & IBM InfoSphere DataStage

Updated March 2024

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Azure Data Factory review

Thulani David Mngadi
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 InfoSphere DataStage review

Rahul Saxena
Rahul Saxena
Manager - Business Technology Solutions at a consultancy with 1,001-5,000 employees
A helpful and cost-effective tool that performs well and is very easy to use
I deal with companies from the healthcare industry. The solutions are largely cloud-based. In data-rich industries like telecom or BFSI, such tools are extensively used. Healthcare also has a lot of data. I will encourage people to use the solution. It is quite an easy tool. Every stage has a help guide. It’s an extensive documentation. We...

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