"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 have found the PowerCenter and B2B data transformation most valuable."
"The interface is very clean and clear."
"It's a complete package, which is why we use this solution."
"It has helped us monetize."
"Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology."
"Informatica PowerCenter is very good for integrating a huge amount of data in a very short duration, such as a minute. It is also very easy to use. After you provide the source and the target, mappings are automatically done, which makes it easy to use for the development team."
"Once you have learned Informatica, it is very easy to use."
"The number of docs has been reduced drastically, which is very good."
"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."
"It would be good to recreate the entire interface to make it easier for users to build workflows."
"Its interface can be modernized. It is an old product. I have been working with it for 14 years, and it still looks the same. It hasn't been modernized much. It also needs to handle more modern formats, such as JSON files. It works with the old text files and databases, but it does not always work with the newer, modern stuff. You need to make your own programs to support that kind of stuff. Support is also a kind of difficult with Informatica. They don't do direct support and rely on using their distributors around the globe for support, which means that you kind of have to go through this layer of different companies before you get help."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"I would like to see improvements made to the custom transformations. It should be more open for users that want to write their own code and use cases."
"The solution can improve by providing more connectivity by having native ODBC or JDBC connections available. It will be easier and more people could start using it."
"The pricing could be improved."
"The documentation could be improved."
"It would be nice to have all tools in one place. CDC needs more effort, as it's only easy to develop if you are familiar with Linux."
FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.
Enterprise data integration platform to help organizations access, transform, and integrate data from a variety of systems.
FME is ranked 29th in Data Integration Tools with 1 review while Informatica PowerCenter is ranked 1st in Data Integration Tools with 23 reviews. FME is rated 8.0, while Informatica PowerCenter is rated 8.4. The top reviewer of FME writes "You don't need to use a lot of code. For us, that's the most important aspect". On the other hand, the top reviewer of Informatica PowerCenter writes "A stable, scalable, and mature solution for complex transformations and data integration". FME is most compared with Alteryx Designer, SSIS, Azure Data Factory, Talend Open Studio and Lumada Data Integration, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, SSIS, Azure Data Factory, Informatica PowerExchange and Oracle Data Integrator (ODI).
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