alamb commented on a change in pull request #9701: URL: https://github.com/apache/arrow/pull/9701#discussion_r594432154
########## File path: rust/datafusion/README.md ########## @@ -19,11 +19,50 @@ # DataFusion -DataFusion is an in-memory query engine that uses Apache Arrow as the memory model. It supports executing SQL queries against CSV and Parquet files as well as querying directly against in-memory data. +<img src="docs/images/DataFusion-Logo-Dark.svg" width="256"/> + +DataFusion is an extensible query 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. + +## Use Cases + +DataFusion is used to create modern, fast and efficient data +pipelines, ETL processes, and database systems, which need the +performance of Rust and Apache Arrow and want to provide their users +the convenience of an SQL interface or a DataFrame API. + +## Why DataFusion? + +* *High Performance*: Leveraging Rust and Arrow's memory model, DataFusion achieves superior performance Review comment: Hehe -- you caught me here being a little selling ahead of the product. You will notice I didn't actually say *what* DataFusion had superior performance to. I will change this to say "achieves very high" performance without quantifying ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
