alamb commented on code in PR #5962: URL: https://github.com/apache/arrow-datafusion/pull/5962#discussion_r1164574067
########## docs/source/user-guide/faq.md: ########## @@ -29,3 +29,37 @@ model and computational kernels. It is designed to run within a single process, for parallel query execution. [Ballista](https://github.com/apache/arrow-ballista) is a distributed compute platform built on DataFusion. + +# How does DataFusion Compare with `XYZ`? + +When compared to similar systems, DataFusion typically is: + +1. Targeted at developers, rather than end users / data scientists. +2. Designed to be embedded, rather than a complete file based SQL system. +3. Governed by the [Apache Software Foundation](https://www.apache.org/) process, rather than a single company or individual. +4. Implemented in `Rust`, rather than `C/C++` + +Here is a comparison with similar projects that may help understand +when DataFusion might be be suitable and unsuitable for your needs: + +- [DuckDB](http://www.duckdb.org) is an open source, in process analytic database. + Like DataFusion, it supports very fast execution, both from its custom file format + and directly from parquet files. Unlike DataFusion, it is written in C/C++ and it + is primarily used directly by users as a serverless database and query system rather + than as a library for building such database systems. + +- [Polars](http://pola.rs): Polars is one of the fastest DataFrame + libraries at the time of writing. Like DataFusion, it is also + written in Rust and uses the Apache Arrow memory model, but unlike + DataFusion it does not provide SQL nor as many extension points. Review Comment: Yes I think you are correct. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
