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."The most important feature is that it can help you do the multi-threading concepts."
"The flexibility that Azure Data Factory offers is great."
"Data Factory's most valuable feature is Copy Activity."
"Allows more data between on-premises and cloud solutions"
"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"It makes it easy to collect data from different sources."
"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."
"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."
"The one element of the solution that we have used and could be improved is the user interface."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"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."
"The product could provide more ways to import and export data."
"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."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"When the record fails, it's tough to identify and log."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"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."
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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