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Posted to github@arrow.apache.org by "alamb (via GitHub)" <gi...@apache.org> on 2023/04/01 15:33:54 UTC
[GitHub] [arrow-datafusion] alamb commented on a diff in pull request #5824: Move content from README.md to docs site
alamb commented on code in PR #5824:
URL: https://github.com/apache/arrow-datafusion/pull/5824#discussion_r1155126098
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docs/source/contributor-guide/index.md:
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@@ -50,11 +50,11 @@ A "major" PR means there is a substantial change in design or a change in the AP
3. Non-controversial build-related changes (clippy, version upgrades etc.)
4. Smaller non-controversial feature additions
-# Developer's guide
+## Getting Started
Review Comment:
I changed some of these heading levels so they didn't all appear in the main table of contents on https://arrow.apache.org/datafusion/
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docs/source/user-guide/comparison.md:
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@@ -0,0 +1,33 @@
+# Comparisons to Other Projects
+
+When compared to similar systems, DataFusion typically is:
+
+1. Targeted at developers, rather than end users / data scientists.
+2. Designed to be embedded, rather than a complete file based SQL system.
+3. Governed by the [Apache Software Foundation](https://www.apache.org/) process, rather than a single company or individual.
+4. Implemented in `Rust`, rather than `C/C++`
+
+Here is a comparison with similar projects that may help understand
+when DataFusion might be be suitable and unsuitable for your needs:
+
+- [DuckDB](http://www.duckdb.org) is an open source, in process analytic database.
+ Like DataFusion, it supports very fast execution, both from its custom file format
+ and directly from parquet files. Unlike DataFusion, it is written in C/C++ and it
+ is primarily used directly by users as a serverless database and query system rather
+ than as a library for building such database systems.
+
+- [Polars](http://pola.rs): Polars is one of the fastest DataFrame
+ libraries at the time of writing. Like DataFusion, it is also
+ written in Rust and uses the Apache Arrow memory model, but unlike
+ DataFusion it does not provide SQL nor as many extension points.
+
+- [Facebook Velox](https://engineering.fb.com/2022/08/31/open-source/velox/)
+ is an execution engine. Like DataFusion, Velox aims to
+ provide a reusable foundation for building database-like systems. Unlike DataFusion,
+ it is written in C/C++ and does not include a SQL frontend or planning /optimization
+ framework.
+
+- [Databend](https://github.com/datafuselabs/databend) is a complete
+ database system. Like DataFusion it is also written in Rust and
+ utilizes the Apache Arrow memory model, but unlike DataFusion it
+ targets end-users rather than developers of other database systems.
Review Comment:
If someone who knew more about Apache Calcite wanted to add a note here that would also be awesome
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README.md:
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@@ -27,176 +29,8 @@ in-memory format.
DataFusion offers SQL and Dataframe APIs, excellent [performance](https://benchmark.clickhouse.com/), built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.
-[](https://codecov.io/gh/apache/arrow-datafusion?branch=master)
Review Comment:
The point of this PR is to move all this content into the docs directory. Some was already partially replicated
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