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README.md

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DataFusion is an extensible query engine written in [Rust] that
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uses [Apache Arrow] as its in-memory format. DataFusion's target users are
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uses [Apache Arrow] as its in-memory format.
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The DataFusion libraries in this repository are used to build data-centric system software. DataFusion also provides the
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following subprojects, which are packaged versions of DataFusion intended for end users.
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- [DataFusion Python](https://github.com/apache/datafusion-python/) offers a Python interface for SQL and DataFrame
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queries.
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- [DataFusion Ray](https://github.com/apache/datafusion-ray/) provides a distributed version of DataFusion that scales
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out on Ray clusters.
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- [DataFusion Comet](https://github.com/apache/datafusion-comet/) is an accelerator for Apache Spark based on
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DataFusion.
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The target audience for the DataFusion crates in this repository are
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developers building fast and feature rich database and analytic systems,
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customized to particular workloads. See [use cases] for examples.
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"Out of the box," DataFusion offers [SQL] and [`Dataframe`] APIs,
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DataFusion offers [SQL] and [`Dataframe`] APIs,
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excellent [performance], built-in support for CSV, Parquet, JSON, and Avro,
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extensive customization, and a great community.
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[Python Bindings] are also available.
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DataFusion features a full query planner, a columnar, streaming, multi-threaded,
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vectorized execution engine, and partitioned data sources. You can

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