We performed a comparison between Azure Data Factory and Infogix Data360 Analyze based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The most valuable features are data transformations."
"The function of the solution is great."
"I like the basic features like the data-based pipelines."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The scalability of the product is impressive."
"It is easy to integrate."
"The drag-and-drop functionality makes it easy for business users."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"Data Factory's monitorability could be better."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The one element of the solution that we have used and could be improved is the user interface."
"There aren't many third-party extensions or plugins available in the solution."
"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."
Earn 20 points
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Infogix Data360 Analyze is ranked 52nd in Data Integration. Azure Data Factory is rated 8.0, while Infogix Data360 Analyze 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 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 Microsoft Azure Synapse Analytics, whereas Infogix Data360 Analyze is most compared with Alteryx Designer and Informatica PowerCenter.
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