docs: Update DataFusion introduction to clarify that DataFusion does provide an "out of the box" query engine #12666
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…d versions for end users
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| - [DataFusion Python](https://github.com/apache/datafusion-python/) offers a Python interface for SQL and DataFrame | ||
| queries. | ||
| - [DataFusion Ray](https://github.com/apache/datafusion-ray/) provides a distributed version of DataFusion that scales | ||
| out on Ray clusters. | ||
| - [DataFusion Comet](https://github.com/apache/datafusion-comet/) is an accelerator for Apache Spark based on | ||
| DataFusion. |
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Note that I intentionally did not include Ballista here since it is not very active. If the project does become active again then we could add it to this list.
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In addition to the readme, should we update the site documentation? |
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Which issue does this PR close?
N/A
Rationale for this change
I have recently seen confusion online about whether DataFusion is an end user tool or library for building new systems.
When people arrive at this repository and read the README, the second sentence states that
DataFusion's target users are developers building fast and feature rich database and analytic systems, customized to particular workloads..I think that most people would move on at this point if they are just looking for a query engine to use, which is a shame because we do have DataFusion subprojects specifically targetted at users.
What changes are included in this PR?
Add a section linking to packaged versions of DataFusion targeting end users.
Are these changes tested?
Are there any user-facing changes?