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Posted to commits@superset.apache.org by ru...@apache.org on 2023/06/08 17:42:56 UTC
[superset] branch master updated: docs: add link to intro with supported database types (#24313)
This is an automated email from the ASF dual-hosted git repository.
rusackas pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/superset.git
The following commit(s) were added to refs/heads/master by this push:
new bcb145df99 docs: add link to intro with supported database types (#24313)
bcb145df99 is described below
commit bcb145df99f7ea89162ba9a6bdadab6141f8916f
Author: Sam Firke <sf...@users.noreply.github.com>
AuthorDate: Thu Jun 8 13:42:47 2023 -0400
docs: add link to intro with supported database types (#24313)
---
docs/docs/intro.mdx | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/docs/docs/intro.mdx b/docs/docs/intro.mdx
index 87efdd5cad..0f0315fc05 100644
--- a/docs/docs/intro.mdx
+++ b/docs/docs/intro.mdx
@@ -36,7 +36,7 @@ Superset provides:
- Code-free visualization builder to extract and present datasets
- A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
- A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
-- Out-of-the-box support for most SQL-speaking databases
+- Out-of-the-box support for [most SQL-speaking databases](https://superset.apache.org/docs/databases/installing-database-drivers/)
- Seamless, in-memory asynchronous caching and queries
- An extensible security model that allows configuration of very intricate rules on who can access which product features and datasets.
- Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
@@ -59,8 +59,8 @@ Superset is also cloud-native in the sense that it is flexible and lets you choo
- Results backend (Redis, S3, Memcached, etc.),
- Caching layer (Redis, Memcached, etc.)
-Superset also works well with services like NewRelic, StatsD and DataDog, and has the ability to run
-analytic workloads against most popular database technologies.
+Superset also works well with [event-logging](https://superset.apache.org/docs/installation/event-logging/)
+services like StatsD, NewRelic, and DataDog.
Superset is currently run at scale at many companies. For example, Superset is run in Airbnb’s
production environment inside Kubernetes and serves 600+ daily active users viewing over 100K charts