We performed a comparison between Azure Data Factory and FME based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The best part of this product is the extraction, transformation, and load."
"The trigger scheduling options are decently robust."
"I like the basic features like the data-based pipelines."
"We have found the bulk load feature very valuable."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"The most valuable feature is the copy activity."
"I am one hundred percent happy with the stability."
"We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."
"It has standard plug-ins available for different data sources."
"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."
"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."
"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"The pricing scheme is very complex and difficult to understand."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"There's space for improvement in the development process of the data pipelines."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point."
"FME's price needs improvement for the African market."
"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."
"Improvements could be made to mapping presentations."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while FME is ranked 24th in Data Integration with 5 reviews. Azure Data Factory is rated 8.0, while FME is rated 8.6. 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 FME writes "Great for handling large volumes of data, but it is priced a bit high". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas FME is most compared with Alteryx Designer, Talend Open Studio, SSIS, Informatica PowerCenter and Matillion ETL. See our Azure Data Factory vs. FME report.
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