We performed a comparison between Azure Data Factory and Informatica Enterprise Data Catalog 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."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"Allows more data between on-premises and cloud solutions"
"From what we have seen so far, the solution seems very stable."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The most valuable feature of this solution would be ease of use."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"The solution can scale very easily."
"The metadata management of Informatica is great."
"The solution scales well."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"We can scan anything."
"The most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."
"The way that the solution scans is very useful."
"The product seems stable enough."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"The pricing model should be more transparent and available online."
"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."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"The deployment should be easier."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"Currently, there are limitations in processing and the interface."
"IEDC can improve the comparison of lineages."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"The scalability is tough."
"This solution is hard to set up and its interface is not user-friendly. It's also not as stable, and the technical support takes a lot of time to solve simple problems."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Informatica Enterprise Data Catalog is ranked 1st in Metadata Management with 13 reviews. Azure Data Factory is rated 8.0, while Informatica Enterprise Data Catalog is rated 7.6. 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 Catalog writes "They listen to their customers, so if something is missing or not working, they will put it on their roadmap". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Informatica Enterprise Data Catalog is most compared with Alation Data Catalog, Collibra Catalog, AWS Glue, Informatica PowerCenter and IBM Watson Knowledge Catalog.
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