A system for assuring performance of a plurality of structured query language statements, the system comprising: a memory comprising instructions; a processor coupled to the memory, where the processor is configured to execute the instructions to perform a method comprising: capturing a volume baseline from a production database, wherein the volume baseline indicates a plurality of production database statistics; retrieving an empty schema of the production database; creating an emulated environment based on the production database statistics and the empty schema, wherein the emulated environment is created for testing the performance of each of the plurality of SQL statements to be executed in the production database; executing the plurality of SQL statements in the emulated environment to forecast an execution time required by each of the plurality of SQL statements in the production database, wherein the execution time is forecasted using Forecasted Time = Emulated Cost ∗ Development Time Development Cost ∗ Multiplication factor, wherein the development cost and the development time are uploaded together with the plurality of SQL statements and the emulated cost is captured by processing the plurality of SQL statements in the emulated environment, wherein the multiplication factor is derived by performing extensive testing in the emulated environment and comparing result of the extensive testing with a production environment; and optimizing an execution plan of at least one of the plurality SQL statements by tuning the at least one of the plurality of SQL statements, wherein the at least one of the plurality of SQL statements is tuned based on the execution time thereby assuring the performance of each of the plurality of SQL statements. a memory comprising instructions; a processor coupled to the memory, where the processor is configured to execute the instructions to perform a method comprising: capturing a volume baseline from a production database, wherein the volume baseline indicates a plurality of production database statistics; retrieving an empty schema of the production database; creating an emulated environment based on the production database statistics and the empty schema, wherein the emulated environment is created for testing the performance of each of the plurality of SQL statements to be executed in the production database; executing the plurality of SQL statements in the emulated environment to forecast an execution time required by each of the plurality of SQL statements in the production database, wherein the execution time is forecasted using Forecasted Time = Emulated Cost ∗ Development Time Development Cost ∗ Multiplication factor, wherein the development cost and the development time are uploaded together with the plurality of SQL statements and the emulated cost is captured by processing the plurality of SQL statements in the emulated environment, wherein the multiplication factor is derived by performing extensive testing in the emulated environment and comparing result of the extensive testing with a production environment; and optimizing an execution plan of at least one of the plurality SQL statements by tuning the at least one of the plurality of SQL statements, wherein the at least one of the plurality of SQL statements is tuned based on the execution time thereby assuring the performance of each of the plurality of SQL statements. capturing a volume baseline from a production database, wherein the volume baseline indicates a plurality of production database statistics; retrieving an empty schema of the production database; creating an emulated environment based on the production database statistics and the empty schema, wherein the emulated environment is created for testing the performance of each of the plurality of SQL statements to be executed in the production database; executing the plurality of SQL statements in the emulated environment to forecast an execution time required by each of the plurality of SQL statements in the production database, wherein the execution time is forecasted using Forecasted Time = Emulated Cost ∗ Development Time Development Cost ∗ Multiplication factor, wherein the development cost and the development time are uploaded together with the plurality of SQL statements and the emulated cost is captured by processing the plurality of SQL statements in the emulated environment, wherein the multiplication factor is derived by performing extensive testing in the emulated environment and comparing result of the extensive testing with a production environment; and optimizing an execution plan of at least one of the plurality SQL statements by tuning the at least one of the plurality of SQL statements, wherein the at least one of the plurality of SQL statements is tuned based on the execution time thereby assuring the performance of each of the plurality of SQL statements.