Differences between SAS® and JMP® are due to different parameterizations and algorithms used to calculate the statistics. The JMP algorithm is computationally more efficient, but PROC GLM is more general. Both are correct, just different. To answer any comparison questions, refer to the Nominal Factors section in the JMP Fitting Linear Models documentation and help.
[Previously JMP Note 37920]