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."Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"I like that it's a monolithic data platform. This is why we propose these solutions."
"I like the basic features like the data-based pipelines."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The best part of this product is the extraction, transformation, and load."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"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."
"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."
"It has standard plug-ins available for different data sources."
"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."
"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."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"The pricing model should be more transparent and available online."
"The one element of the solution that we have used and could be improved is the user interface."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"Some known bugs and issues with Azure Data Factory could be rectified."
"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."
"FME's price needs improvement for the African market."
"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."
"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"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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