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Nov 25, 2025
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Add Kubeflow Trainer to known users #18935

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3 changes: 3 additions & 0 deletions docs/source/user-guide/introduction.md
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Expand Up @@ -82,6 +82,7 @@ Here are some example systems built using DataFusion:
- Streaming data platforms such as [Synnada]
- Tools for reading / sorting / transcoding Parquet, CSV, AVRO, and JSON files such as [qv]
- Native Spark runtime replacement such as [Auron]
- Distributed data cache to boost GPU utilization of AI workloads with [Kubeflow Trainer](https://www.kubeflow.org/docs/components/trainer/user-guides/data-cache/)

By using DataFusion, projects are freed to focus on their specific
features, and avoid reimplementing general (but still necessary)
Expand Down Expand Up @@ -114,6 +115,8 @@ Here are some active projects using DataFusion:
- [Iceberg-rust](https://github.com/apache/iceberg-rust) Rust implementation of Apache Iceberg
- [InfluxDB] Time Series Database
- [Kamu] Planet-scale streaming data pipeline
- [Kubeflow Trainer](https://github.com/kubeflow/trainer) Kubernetes-native project designed for
scalable LLMs fine-tuning and distributed AI model training.
- [LakeSoul](https://github.com/lakesoul-io/LakeSoul) Open source LakeHouse framework with native IO in Rust.
- [Lance](https://github.com/lancedb/lance) Modern columnar data format for ML
- [OpenObserve] Distributed cloud native observability platform
Expand Down