Resumen de precios de FME Platform

La usabilidad de la plataforma es fantástica. Es relativamente fácil para alguien sin habilidades en FME entrar y trabajar en flujos de trabajo simples, pero sigue siendo lo suficientemente potente para los usuarios avanzados.

Con una lista casi interminable de conectores, es realmente la navaja suiza del software. Reseña recopilada por y alojada en G2.com.

Pocos o ningún inconveniente, sin embargo, el costo de una licencia de escritorio simple para tareas sencillas puede ser demasiado alto para algunas organizaciones. Reseña recopilada por y alojada en G2.com.

What is particularly unique about FME Platform is that it can work flexibly in the environment of multi-source data integration and is not based on a specific architecture. This feature is especially useful when it comes to implementing an on-premise ETL process that involves a wide variety of systems, each producing information in their own unique way. FME Platform's intuitive drag-and-drop method makes it extremely convenient to develop sophisticated workflows while at the same time providing a high degree of control over the transformation process.

Another important feature that I consider to be very helpful is the possibility of working with data virtually and automatically, as well as FME Platform's very active community. It means that FME can perform such tasks as orchestration of workflows and creation of reusable pipelines, thus helping with improving efficiency. Furthermore, thanks to the large community, finding a solution for a problem becomes significantly easier because it may have already been solved by someone else. Reseña recopilada por y alojada en G2.com.

One thing that I do not like about FME Platform is how resource-intensive and complicated it can get if the workflow gets too big. Although the graphical interface is very useful, some workflows will quickly become very hard to maintain once they grow larger and more connected. They might also experience performance issues, especially for very intensive transformations or large amounts of data, especially in an on-premise deployment.

The second problem lies in the time, costs, and knowledge required. Even though it uses a low-code system at first glance, mastering its full potential still requires deep knowledge in data structure and transformation processes, making it harder to learn. Licensing may also become rather expensive when expanding the use of the platform across multiple settings. Reseña recopilada por y alojada en G2.com.