[rules-users] Better Performance and Maintainability?

Hi, Can someone plz help me understand performance and maintainability in the following scenario - ? I load tons of rows of data from database and store them in an object fact model [POJO based] and apply the rules using decision tables and finally persist data. vs I load tons of rows of data from database and store them in an object fact model [HashMap - Key - Value] and apply the rules using decision tables and finally persist data. The difference in the above two scenarios is that one of them is pojo based and the other is key-value pairs that are used on LHS of the decision tables. When I use Key-Value approach I had to do lot of conversion in terms converting the conditions into eval statements and validations but where as the pojo approach is very straight forward and less validations. Which approach gives me better performance and maintainability? I would consider the following before I make a decision - 1 - size of data 2 - frequency at which the data changes [in terms of adding new conditions / adding new columns / removal of new columns etc] 3 - re-usability Thank You! -- View this message in context: http://n3.nabble.com/Better-Performance-and-Maintainability-tp136941p1369... Sent from the Drools - User mailing list archive at Nabble.com.