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These benchmarks can be reproduced in any environment using the documentation in the
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[Comet Benchmarking Guide](https://datafusion.apache.org/comet/contributor-guide/benchmarking.html). We encourage
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These benchmarks can be reproduced in any environment using the documentation in the
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[Comet Benchmarking Guide](https://datafusion.apache.org/comet/contributor-guide/benchmarking.html). We encourage
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you to run your own benchmarks.
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Results for our benchmark derived from TPC-DS are available in the [benchmarking guide](https://datafusion.apache.org/comet/contributor-guide/benchmark-results/tpc-ds.html).
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## Use Commodity Hardware
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Comet leverages commodity hardware, eliminating the need for costly hardware upgrades or
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specialized hardware accelerators, such as GPUs or FPGA. By maximizing the utilization of commodity hardware, Comet
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specialized hardware accelerators, such as GPUs or FPGA. By maximizing the utilization of commodity hardware, Comet
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ensures cost-effectiveness and scalability for your Spark deployments.
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## Spark Compatibility
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[DataFusion Slack and Discord channels](https://datafusion.apache.org/contributor-guide/communication.html) to connect
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with other users, ask questions, and share your experiences with Comet.
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Follow [Apache DataFusion Comet Overview](https://datafusion.apache.org/comet/user-guide/overview.html) to get more detailed information
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Follow [Apache DataFusion Comet Overview](https://datafusion.apache.org/comet/user-guide/overview.html) to get more detailed information
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