SPSS is quite user friendly as a point and click tool but requires more work with respect to datasets that are constantly updated.
STATA is less user friendly and requires some understanding of computer syntax, but is very useful for its advanced flexibility and code reruns that make updated datasets easier to work with.
R is much better as a display tool (graphs, 3D models) but can also have some difficulties for the average person. R is also free to download so that's a massive positive.
SAS is something used commonly in the industry (health care administration, government etc) and can also do some complex functions.
All of these packages require good statistical knowledge and understanding to know what to do with them. The tool is only as useful as the person using it.
Best wishes,