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merrily01Jefffrey
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Rename Blaze to Auron (#17532)
Co-authored-by: Jeffrey Vo <[email protected]>
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docs/source/user-guide/introduction.md

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@@ -81,7 +81,7 @@ Here are some example systems built using DataFusion:
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- SQL support to another library, such as [dask sql]
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- Streaming data platforms such as [Synnada]
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- Tools for reading / sorting / transcoding Parquet, CSV, AVRO, and JSON files such as [qv]
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- Native Spark runtime replacement such as [Blaze]
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- Native Spark runtime replacement such as [Auron]
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By using DataFusion, projects are freed to focus on their specific
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features, and avoid reimplementing general (but still necessary)
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- [Arroyo](https://github.com/ArroyoSystems/arroyo) Distributed stream processing engine in Rust
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- [ArkFlow](https://github.com/arkflow-rs/arkflow) High-performance Rust stream processing engine
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- [Auron](https://github.com/apache/auron) The Auron accelerator for big data engine (e.g., Spark, Flink) leverages native vectorized execution to accelerate query processing
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- [Ballista](https://github.com/apache/datafusion-ballista) Distributed SQL Query Engine
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- [Blaze](https://github.com/kwai/blaze) The Blaze accelerator for Apache Spark leverages native vectorized execution to accelerate query processing
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- [CnosDB](https://github.com/cnosdb/cnosdb) Open Source Distributed Time Series Database
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- [Comet](https://github.com/apache/datafusion-comet) Apache Spark native query execution plugin
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- [Cube Store](https://github.com/cube-js/cube.js/tree/master/rust) Cube’s universal semantic layer platform is the next evolution of OLAP technology for AI, BI, spreadsheets, and embedded analytics
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- [Tensorbase](https://github.com/tensorbase/tensorbase)
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[ballista]: https://github.com/apache/datafusion-ballista
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[blaze]: https://github.com/blaze-init/blaze
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[auron]: https://github.com/apache/auron
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[cloudfuse buzz]: https://github.com/cloudfuse-io/buzz-rust
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[cnosdb]: https://github.com/cnosdb/cnosdb
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[cube store]: https://github.com/cube-js/cube.js/tree/master/rust

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