> Out of interest what are the differences in the approach between this and 
> Glutten?

Overall they are similar, although Gluten supports multiple backends
including Velox and Clickhouse. One major difference is (obviously)
Comet is based on DataFusion and Arrow, and written in Rust, while
Gluten is mostly C++.
I haven't looked very deep into Gluten yet, but there could be other
differences such as how strictly the engine follows Spark's semantics,
table format support (Iceberg, Delta, etc), fallback mechanism
(coarse-grained fallback on stage level or more fine-grained fallback
within stages), UDF support (Comet hasn't started on this yet),
shuffle support, memory management, etc.

Both engines are backed by very strong and vibrant open source
communities (Velox, Clickhouse, Arrow & DataFusion) so it's very
exciting to see how the projects will grow in future.

Best,
Chao

On Tue, Feb 13, 2024 at 10:06 PM John Zhuge <jzh...@apache.org> wrote:
>
> Congratulations! Excellent work!
>
> On Tue, Feb 13, 2024 at 8:04 PM Yufei Gu <flyrain...@gmail.com> wrote:
>>
>> Absolutely thrilled to see the project going open-source! Huge congrats to 
>> Chao and the entire team on this milestone!
>>
>> Yufei
>>
>>
>> On Tue, Feb 13, 2024 at 12:43 PM Chao Sun <sunc...@apache.org> wrote:
>>>
>>> Hi all,
>>>
>>> We are very happy to announce that Project Comet, a plugin to
>>> accelerate Spark query execution via leveraging DataFusion and Arrow,
>>> has now been open sourced under the Apache Arrow umbrella. Please
>>> check the project repo
>>> https://github.com/apache/arrow-datafusion-comet for more details if
>>> you are interested. We'd love to collaborate with people from the open
>>> source community who share similar goals.
>>>
>>> Thanks,
>>> Chao
>>>
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>>>
>
>
> --
> John Zhuge

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