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."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."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"The most valuable feature of this solution would be ease of use."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"The scalability of the product is impressive."
"It makes it easy to collect data from different sources."
"The data catalog feature is pretty good."
"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."
"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."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"It can improve from the perspective of active logging. It can provide active logging information."
"There aren't many third-party extensions or plugins available in the solution."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"The initial setup is not very straightforward."
"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."
"The number of standard adaptors could be extended further."
"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, Alation Data Catalog and Oracle Data Integrator (ODI).
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