We performed a comparison between Azure Data Factory and erwin Data Catalog by Quest based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."It makes it easy to collect data from different sources."
"We have found the bulk load feature very valuable."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"The flexibility that Azure Data Factory offers is great."
"Allows more data between on-premises and cloud solutions"
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"The data copy template is a valuable feature."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
"The data catalog feature is pretty good."
"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."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"There are limitations when processing more than one GD file."
"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."
"There aren't many third-party extensions or plugins available in the solution."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"Real-time replication is required, and this is not a simple task."
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while erwin Data Catalog by Quest is ranked 12th in Metadata Management with 2 reviews. Azure Data Factory is rated 8.0, while erwin Data Catalog by Quest 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 erwin Data Catalog by Quest writes "Helps with metadata management, saves time, and allows us to do impact analysis on any changes". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas erwin Data Catalog by Quest is most compared with Informatica Enterprise Data Catalog, Talend Open Studio, Oracle Data Integrator (ODI) and Alation Data Catalog.
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