Similar performance using DataFrames or DataFramesMeta?

In my experience, DataFrames and DataFramesMeta have performed quite similarly in typical use-cases like selecting a subset of a dataframe based on a condition, selecting a column from a dataframe etc. Have other users found this to be their experience too?

When I use JuliaDB/IndexedTables, I find that macros from JuliaDBMeta speed up my operations by almost 3-5x fairly regularly but for DataFrame operations, I have found DataFrames and DataFramesMeta to be quite comparable. Would love to hear what other users’ experience has been regarding this. Thanks!