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."Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"The trigger scheduling options are decently robust."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"It is beneficial that the solution is written with Spark as the back end."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"The drag-and-drop functionality makes it easy for business users."
"Azure Data Factory's pricing in terms of utilization could be improved."
"The speed and performance need to be improved."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"I have not found any real shortcomings within the product."
"The pricing scheme is very complex and difficult to understand."
"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 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] doesn't meet the minimum requirements to be ranked 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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