We performed a comparison between Azure Data Factory and Informatica Data Integration Hub based on real PeerSpot user reviews.
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"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The security of the agent that is installed on-premises is very good."
"Data Factory's best features are simplicity and flexibility."
"The most important feature is that it can help you do the multi-threading concepts."
"Powerful but easy-to-use and intuitive."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"I can do everything I want with SSIS and Azure Data Factory."
"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 MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."
"Performance and flexibility-wise, they're very user-friendly."
"The technical support services are good."
"Real-time replication is required, and this is not a simple task."
"Some of the optimization techniques are not scalable."
"The support and the documentation can be improved."
"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."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"There is no built-in pipeline exit activity when encountering an error."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Informatica Data Integration Hub is ranked 37th in Data Integration with 3 reviews. Azure Data Factory is rated 8.0, while Informatica Data Integration Hub is rated 8.0. 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 Data Integration Hub writes "Excellent at standardizing mass data and capable of integrating with multiple solutions ". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Mule Anypoint Platform, SAP Data Hub and SAS Data Management.
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