Comparar Play y Spark Software 
Play vs Spark
Al evaluar las dos soluciones, los revisores encontraron que Spark es más fácil de usar, administrar y hacer negocios en general. Sin embargo, prefirieron la facilidad de configuración con Play.
- Los revisores consideraron que Spark satisface mejor las necesidades de su empresa que Play.
- Al comparar la calidad del soporte continuo del producto, los revisores consideraron que Spark es la opción preferida.
- En cuanto a actualizaciones de características y hojas de ruta, nuestros revisores prefirieron la dirección de Play sobre Spark.
You can transcend skill sets by using Play! as an intermediary between having your development team learn a more modern JVM language (Scala) and Java. The framework's power can still very easily be seen using Java methods, and in-fact I personally prefer to...
Realmente demasiado pequeño Hay más acuerdo Pocos recursos chinos
Easier to implement in comparison to other methods Better documentations
The client itself seemed to have a bit of limited functionality in comparison to other clients (such as Adium) in terms of logging (locally). I would have simply used Adium solely when connecting to the Jabber server, other than it has *limited* fastpath...
You can transcend skill sets by using Play! as an intermediary between having your development team learn a more modern JVM language (Scala) and Java. The framework's power can still very easily be seen using Java methods, and in-fact I personally prefer to...
Easier to implement in comparison to other methods Better documentations
Realmente demasiado pequeño Hay más acuerdo Pocos recursos chinos
The client itself seemed to have a bit of limited functionality in comparison to other clients (such as Adium) in terms of logging (locally). I would have simply used Adium solely when connecting to the Jabber server, other than it has *limited* fastpath...
