We performed a comparison between FME and Informatica PowerExchange 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."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 standard plug-ins available for different data sources."
"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."
"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 is a scalable and versatile solution."
"From the product feature or product capability perspective, the aspects around integration, transformation, and standardization are valuable. It's fairly easy to use. It has a GUI-based interface."
"The product’s flexibility is valuable."
"The most valuable feature is connectivity to data sources."
"The data transformation is the solution's most valuable feature."
"The main benefit of PowerExchange is its native real-time capabilities. Competing tools are counting on third-party packages or Oracle to offer real-time capabilities. However, Informatica has a native ability to scan the data on the file system level and capture the changes almost instantly when I push it to the consumers. The solution has a powerful built-in replication engine."
"This product is easy to install and it can be done in a few hours."
"The scalability is excellent."
"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."
"Improvements could be made to mapping presentations."
"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."
"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."
"The solution could be made more user-friendly. The configurations are also quite difficult."
"The product's high costs can be an area of concern where improvements are required."
"The connectivity with T24 core banking could be improved."
"Should diversify more, maybe with a reporting and visualization utility,"
"The one place where it could be improved is definitely pricing. That's a very big problem. It depends product to product, but pricing is an issue."
"Integration with the largest number of databases and other systems would be important."
"Technical support can be improved with respect to delays in ticket response time."
"Pushdown optimization could be improved."
FME is ranked 25th in Data Integration with 5 reviews while Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews. FME is rated 8.6, while Informatica PowerExchange 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 PowerExchange writes "Handles big data better than competitors". FME is most compared with Azure Data Factory, Alteryx Designer, Talend Open Studio, SSIS and Informatica PowerCenter, whereas Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Azure Data Factory, SSIS and Qlik Replicate. See our FME vs. Informatica PowerExchange report.
See our list of best Data Integration vendors.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.