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."Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"The trigger scheduling options are decently robust."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"The solution can scale very easily."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The most valuable features are data transformations."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"The drag-and-drop functionality makes it easy for business users."
"Azure Data Factory's pricing in terms of utilization could be improved."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"There's space for improvement in the development process of the data pipelines."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"The deployment should be easier."
"Some of the optimization techniques are not scalable."
"The product could provide more ways to import and export data."
"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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