We performed a comparison between Azure Data Factory and Informatica Enterprise Data Lake 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 of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"From what we have seen so far, the solution seems very stable."
"Data Factory's most valuable feature is Copy Activity."
"The data copy template is a valuable feature."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"The process of using the tool's scalability option is well documented."
"The pricing model should be more transparent and available online."
"It would be better if it had machine learning capabilities."
"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"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."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"Data Factory's performance during heavy data processing isn't great."
"The one element of the solution that we have used and could be improved is the user interface."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Informatica Enterprise Data Lake is ranked 41st in Data Integration with 1 review. Azure Data Factory is rated 8.0, while Informatica Enterprise Data Lake 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 Informatica Enterprise Data Lake writes "A scalable tool that needs a lot of maintenance due to its unstable nature". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Informatica Enterprise Data Lake is most compared with Palantir Foundry.
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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.
