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 solution has a good interface and the integration with GitHub is very useful."
"The solution can scale very easily."
"From what we have seen so far, the solution seems very stable."
"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 most valuable feature is the copy activity."
"The overall performance is quite good."
"I can do everything I want with SSIS and Azure Data Factory."
"Data Factory's most valuable feature is Copy Activity."
"The drag-and-drop functionality makes it easy for business users."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"The number of standard adaptors could be extended further."
"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."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."
"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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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
