andygrove commented on code in PR #4903: URL: https://github.com/apache/arrow-datafusion/pull/4903#discussion_r1070338688
########## README.md: ########## @@ -21,34 +21,52 @@ <img src="docs/source/_static/images/DataFusion-Logo-Background-White.svg" width="256" alt="logo"/> -DataFusion is an extensible query planning, optimization, and execution framework, written in -Rust, that uses [Apache Arrow](https://arrow.apache.org) as its +DataFusion is very fast, extensible query engine, for building high quality data centric systems in +[Rust](http://rustlang.org), using the [Apache Arrow](https://arrow.apache.org) in-memory format. +DataFusion offers SQL and Dataframe APIs, excellent [performance](https://benchmark.clickhouse.com/), built in support for CSV, Parquet Json, and Avro, extensive customization, and a great community. + [](https://codecov.io/gh/apache/arrow-datafusion?branch=master) ## Features -- SQL query planner with support for multiple SQL dialects -- DataFrame API -- Parquet, CSV, JSON, and Avro file formats are supported natively. Custom - file formats can be supported by implementing a `TableProvider` trait. -- Supports popular object stores, including AWS S3, Azure Blob - Storage, and Google Cloud Storage. There are extension points for implementing - custom object stores. +- Feature rich [SQL support](https://arrow.apache.org/datafusion/user-guide/sql/index.html) and [DataFrame API](https://arrow.apache.org/datafusion/user-guide/dataframe.html) Review Comment: ```suggestion - Feature-rich [SQL support](https://arrow.apache.org/datafusion/user-guide/sql/index.html) and [DataFrame API](https://arrow.apache.org/datafusion/user-guide/dataframe.html) ``` -- 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: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
