User Reviews of Azure Data Factory & StreamSets
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,...
StreamSets review
Reyansh Kumar
Technical Specialist at Accenture
We no longer need to hire highly skilled data engineers to create and monitor data...
The things I like about StreamSets are its * overall user interface * efficiency * product features, which are all good. Also, the scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka,...
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