[GitHub] [superset] srinify commented on a change in pull request #17650: chore: updated screenshots in README.md and added recent events

[GitBox <gi...@apache.org>]

srinify commented on a change in pull request #17650:
URL: https://github.com/apache/superset/pull/17650#discussion_r767212914



##########
File path: README.md
##########
@@ -46,55 +46,44 @@ A modern, enterprise-ready business intelligence web application.
 [**Resources**](#resources) |
 [**Organizations Using Superset**](RESOURCES/INTHEWILD.md)
 
+## Why Superset?
+
+Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams.
+
+Superset provides:
+
+- A **no-code interface** for building charts quickly
+- A powerful, web-based **SQL Editro** for advanced querying
+- A **lightweight semantic layer** for quickly defining custom dimensions and metrics
+- Out of the box support for **nearly any SQL** database or data engine
+- A wide array of **beautiful visualizations** to showcase your data
+metadata browser
+- Lightweight, configurable **caching layer** to help ease database load
+- Highly extensible **security roles and authentication** options
+- An **API** for programmatic customization
+- A **cloud-native architecture** designed from the ground up for scale
+
 ## Screenshots & Gifs
 
-**Gallery**
+**Large Gallery of Visualizations**
 
 <kbd><a href="https://superset.apache.org/gallery"><img title="Gallery" src="superset-frontend/src/assets/images/screenshots/gallery.jpg"/></a></kbd><br/>
 
-**View Dashboards**
+**Craft Beautiful, Dynamic Dashboards**
 
 <kbd><img title="View Dashboards" src="superset-frontend/src/assets/images/screenshots/slack_dash.jpg"/></kbd><br/>
 
-**Slice & dice your data**
+**No Code Chart Builder**
 
 <kbd><img title="Slice & dice your data" src="superset-frontend/src/assets/images/screenshots/explore.jpg"/></kbd><br/>
 
-**Query and visualize your data with SQL Lab**
+**Powerful SQL Editor**
 
 <kbd><img title="SQL Lab" src="superset-frontend/src/assets/images/screenshots/sql_lab.jpg"/></kbd><br/>
 
-**Visualize geospatial data with deck.gl**
-
-<kbd><img title="Geospatial" src="superset-frontend/src/assets/images/screenshots/geospatial_dash.jpg"/></kbd><br/>
-
-**Choose from a wide array of visualizations**
-
-<kbd><img title="Visualizations" src="superset-frontend/src/assets/images/screenshots/explore_visualizations.jpg"/></kbd><br/>
-
-## Why Superset?
-
-Superset provides:
-
-- An intuitive interface for visualizing datasets and
-  crafting interactive dashboards
-- A wide array of beautiful visualizations to showcase your data
-- 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
-- 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)
-- The ability to add custom visualization plugins
-- An API for programmatic customization
-- A cloud-native architecture designed from the ground up for scale
-
 ## Supported Databases
 
-Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.
+Superset can query data from any SQL-speaking datastore or data engine (e.g. Presto, Trino, or Athena) that has a Python DB-API driver and a SQLAlchemy dialect.

Review comment:
       We have a list here (https://superset.apache.org/docs/databases/installing-database-drivers/). My general feeling is I want to actually reduce the amount of content in the readme and move more of it to the docs / apache site. This seems consistent anyway with most other open source projects have done (e.g. kafka, spark). As a counter point tho, Airflow still has a bunch of content on their readme.
   
   Maybe for now we just do logos, in my next pass I can enumerate the full list?




-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: notifications-unsubscribe@superset.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org



---------------------------------------------------------------------
To unsubscribe, e-mail: notifications-unsubscribe@superset.apache.org
For additional commands, e-mail: notifications-help@superset.apache.org