We performed a comparison between FME and Informatica Cloud Data Integration based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"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."
"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 standard plug-ins available for different data sources."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"The data mapping capability is a valuable feature."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"The program is stable and scalable."
"The solution's initial setup is quite straightforward."
"The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server."
"Data synchronization tasks."
"The most valuable feature is the building of mockups and tasks."
"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."
"FME's price needs improvement for the African market."
"Improvements could be made to mapping presentations."
"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"Cost-wise, it could be better."
"Certain applications are not being synced with the ION."
"I would like to see support for more data sources."
"The current features are a bit complicated, and we need to write big scripts and test."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"Its features for partitioning and optimization could be better."
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FME is ranked 25th in Data Integration with 5 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. FME is rated 8.6, while Informatica Cloud Data Integration is rated 7.8. The top reviewer of FME writes "Great for handling large volumes of data, but it is priced a bit high". On the other hand, the top reviewer of Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Mule Anypoint Platform. See our FME vs. Informatica Cloud Data Integration report.
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