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."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 data copy template is a valuable feature."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"The initial setup is very quick and easy."
"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 features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"I can do everything I want with SSIS and Azure Data Factory."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"It has standard plug-ins available for different data sources."
"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 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."
"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."
"Data Factory's cost is too high."
"The pricing model should be more transparent and available online."
"There are limitations when processing more than one GD file."
"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."
"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."
"Azure Data Factory's pricing in terms of utilization could be improved."
"Real-time replication is required, and this is not a simple task."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"FME's price needs improvement for the African market."
"Improvements could be made to mapping presentations."
"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"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 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."
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 Microsoft Azure Synapse Analytics, whereas FME is most compared with Alteryx Designer, Talend Open Studio, SSIS, Informatica PowerCenter and SAP Data Services. See our Azure Data Factory vs. FME report.
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