andygrove commented on code in PR #2854:
URL: https://github.com/apache/arrow-datafusion/pull/2854#discussion_r916452705


##########
README.md:
##########
@@ -21,52 +21,70 @@
 
 <img src="docs/source/_static/images/DataFusion-Logo-Background-White.svg" 
width="256"/>
 
-DataFusion is an extensible query execution framework, written in
+DataFusion is an extensible query planning, optimization, and execution 
framework, written in
 Rust, that uses [Apache Arrow](https://arrow.apache.org) as its
 in-memory format.
 
-DataFusion supports both an SQL and a DataFrame API for building
-logical query plans as well as a query optimizer and execution engine
-capable of parallel execution against partitioned data sources (CSV
-and Parquet) using threads.
+## Features
 
-DataFusion also supports distributed query execution via the
-[Ballista](https://github.com/apache/arrow-ballista/) crate.
+- 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

Review Comment:
   @tustvold Have I stated this correctly? I am not familiar with the recent 
changes.



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