Apache DataFusion is a high-performance query engine tailored for developers and data engineers. Built with Rust and leveraging Apache Arrow for in-memory processing, it supports SQL and DataFrame APIs, making it suitable for a variety of applications including databases and machine learning. The engine's multi-threaded, streaming execution model enhances performance, while its compatibility with partitioned data sources allows for flexible data handling. DataFusion natively supports formats such as CSV, Parquet, JSON, and Avro, facilitating easy integration with popular object storage solutions like AWS S3 and Azure Blob Storage.

The software's robust query planner and advanced optimizer include features like expression coercion, filter pushdown, and automatic join reordering, which significantly improve query efficiency. Users can extend its capabilities by adding custom functions and data sources. With support for multiple integration options and an API, Apache DataFusion is designed to meet the needs of mid-sized businesses, enterprises, and various organizations seeking a powerful data processing solution.