# Similar performance using DataFrames or DataFramesMeta?

**URL:** <https://discourse.julialang.org/t/similar-performance-using-dataframes-or-dataframesmeta/30813>\
**Category:** General Usage\
**Created:** [November 7, 2019, 1:04am UTC](https://discourse.julialang.org/t/similar-performance-using-dataframes-or-dataframesmeta/30813 "2019-11-07T01:04:31Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![bashonubuntu](https://avatars.discourse-cdn.com/v4/letter/b/f19dbf/32.png) [@bashonubuntu](https://discourse.julialang.org/u/bashonubuntu)\
**Post date:** [November 7, 2019, 1:04am UTC](https://discourse.julialang.org/t/similar-performance-using-dataframes-or-dataframesmeta/30813/1 "2019-11-07T01:04:31Z")

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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!