We performed a comparison between Azure Data Factory and Infogix Data360 Analyze [EOL] based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"We haven't had any issues connecting it to other products."
"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, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The drag-and-drop functionality makes it easy for business users."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"There aren't many third-party extensions or plugins available in the solution."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"The Microsoft documentation is too complicated."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"Some known bugs and issues with Azure Data Factory could be rectified."
"The memory processing needs to be improved because when you deal with a large amount of data, the interface tends to hang a little bit."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Infogix Data360 Analyze [EOL] is ranked 52nd in Data Integration. Azure Data Factory is rated 8.0, while Infogix Data360 Analyze [EOL] is rated 7.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Infogix Data360 Analyze [EOL] writes "Easy drag-and-drop interface and supports custom Python functions, but the performance needs to be better". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Infogix Data360 Analyze [EOL] is most compared with Alteryx Designer and Informatica PowerCenter.
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