I showed Julia is much faster than Python in data processing.

• polars

  144 26,378 10.0 Rust

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  

I think that the best part of the Julia performance is that it is achieved with pure Julia libraries. I think some of these performance gaps are going to close once all of the Python and R packages complete their transition to Arrow. I'd be curious to see how the Polars library did on this task, for instance.

• Apache Arrow

  75 13,562 10.0 C++

  Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

  

I think that the best part of the Julia performance is that it is achieved with pure Julia libraries. I think some of these performance gaps are going to close once all of the Python and R packages complete their transition to Arrow. I'd be curious to see how the Polars library did on this task, for instance.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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