We performed a comparison between Azure Data Factory and Informatica Data Integration Hub based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The initial setup is very quick and easy."
"The function of the solution is great."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"It is easy to deploy workflows and schedule jobs."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"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 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."
"The technical support services are good."
"Performance and flexibility-wise, they're very user-friendly."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"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."
"Lacks in-built streaming data processing."
"Real-time replication is required, and this is not a simple task."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"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."
"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."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"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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