Skip to content

[WEBSITE]: Add alternate link to slides on datafusion 13.0.0 blog #263

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
alamb merged 1 commit into from
Oct 27, 2022
Merged

[WEBSITE]: Add alternate link to slides on datafusion 13.0.0 blog #263

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion _posts/2022-10-25-datafusion-13.0.0.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,7 @@ Even though DataFusion is 4 years "young," it has seen significant community gro
# Background


DataFusion is used as the engine in [many open source and commercial projects](https://github.com/apache/arrow-datafusion#known-uses) and was one of the early open source projects to provide this capability. 2022 has validated our belief in the need for such a ["LLVM for database and AI systems"](https://docs.google.com/presentation/d/1iNX_35sWUakee2q3zMFPyHE4IV2nC3lkCK_H6Y2qK84/edit#slide=id.p) with announcements such as the [release of FaceBook's Velox](https://engineering.fb.com/2022/08/31/open-source/velox/) engine, the major investments in [Acero](https://arrow.apache.org/docs/cpp/streaming_execution.html) as well as the continued popularity of [Apache Calcite](https://calcite.apache.org/) and other similar technologies.
DataFusion is used as the engine in [many open source and commercial projects](https://github.com/apache/arrow-datafusion#known-uses) and was one of the early open source projects to provide this capability. 2022 has validated our belief in the need for such a ["LLVM for database and AI systems"](https://docs.google.com/presentation/d/1iNX_35sWUakee2q3zMFPyHE4IV2nC3lkCK_H6Y2qK84/edit#slide=id.p)[(alternate link)](https://www.slideshare.net/AndrewLamb32/20220623-apache-arrow-and-datafusion-changing-the-game-for-implementing-database-systemspdf) with announcements such as the [release of FaceBook's Velox](https://engineering.fb.com/2022/08/31/open-source/velox/) engine, the major investments in [Acero](https://arrow.apache.org/docs/cpp/streaming_execution.html) as well as the continued popularity of [Apache Calcite](https://calcite.apache.org/) and other similar technologies.

While Velox and Acero focus on execution engines, DataFusion provides the entire suite of components needed to build most analytic systems, including a SQL frontend, a dataframe API, and extension points for just about everything. Some [DataFusion users](https://github.com/apache/arrow-datafusion#known-uses) use a subset of the features such as the frontend (e.g. [dask-sql](https://dask-sql.readthedocs.io/en/latest/)) or the execution engine, (e.g. [Blaze](https://github.com/blaze-init/blaze)), and some use many different components to build both SQL based and customized DSL based systems such as [InfluxDB IOx](https://github.com/influxdata/influxdb_iox/pulls) and [VegaFusion](https://github.com/vegafusion/vegafusion).

Expand Down