Skip to content

Commit

Permalink
docs: Update and refresh homepage of superset.apache.org (apache#10477)
Browse files Browse the repository at this point in the history
* Update and refresh Index

Update and refresh index with additional links to community resources, new links to `Databases' section directly to parts of the tutorial that talk about that database,  connect, align Superset topline features with same language as in GitHub

* Added link to Superset users

* Update with relative links

* Add link to docs repo

Add link to docs repo on the homepage to encourage easy access for community contribution.

* Update index.rst
  • Loading branch information
ceohockey60 authored and Ofeknielsen committed Oct 5, 2020
1 parent 8888fa9 commit 9573a28
Showing 1 changed file with 44 additions and 44 deletions.
88 changes: 44 additions & 44 deletions docs/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -60,10 +60,14 @@ Superset Resources
`contribution guidelines <https://github.com/apache/incubator-superset/blob/master/CONTRIBUTING.md>`_
and
`code of conduct <https://github.com/apache/incubator-superset/blob/master/CODE_OF_CONDUCT.md>`_
on Github.
on Github. (You can contribute to this documentation `here <https://github.com/apache/incubator-superset/tree/master/docs>`_)
- Our `mailing list archives <https://lists.apache.org/list.html?dev@superset.apache.org>`_.
To subscribe, send an email to ``dev-subscribe@superset.apache.org``
- `Join our Slack <https://join.slack.com/t/apache-superset/shared_invite/enQtNDMxMDY5NjM4MDU0LWJmOTcxYjlhZTRhYmEyYTMzOWYxOWEwMjcwZDZiNWRiNDY2NDUwNzcwMDFhNzE1ZmMxZTZlZWY0ZTQ2MzMyNTU>`_
- `Superset Users <https://github.com/apache/incubator-superset/blob/master/INTHEWILD.md>`_
- `Join our commmunity Slack channel <https://join.slack.com/t/apache-superset/shared_invite/zt-g8lpruog-HeqpgYrwdfrD5OYhlU7hPQ>`_
- `Awesome Apache Superset <https://github.com/apache-superset/awesome-apache-superset>`_ collection of learning resources from around the Internet.
- `StackOverflow Q&A <https://stackoverflow.com/questions/tagged/apache-superset>`_
- `Community Meetup Recordings <https://www.youtube.com/channel/UCMuwrvBsg_jjI2gLcm04R0g>`_

Apache Software Foundation Resources
====================================
Expand All @@ -79,54 +83,50 @@ Overview
Features
--------

- A rich set of data visualizations
- An easy-to-use interface for exploring and visualizing data
- Create and share dashboards
- Enterprise-ready authentication with integration with major authentication
providers (database, OpenID, LDAP, OAuth & REMOTE_USER through
Flask AppBuilder)
- An extensible, high-granularity security/permission model allowing
intricate rules on who can access individual features and the dataset
- A simple semantic layer, allowing users to control how data sources are
displayed in the UI by defining which fields should show up in which
drop-down and which aggregation and function metrics are made available
to the user
- Integration with most SQL-speaking RDBMS through SQLAlchemy
- Deep integration with Druid.io
- An intuitive interface to explore and visualize datasets, and create interactive dashboards.
- A wide array of beautiful visualizations to showcase your data.
- Easy, code-free, user flows to drill down and slice and dice the data underlying exposed dashboards. The dashboards and charts act as a starting point for deeper analysis.
- A state of the art SQL editor/IDE exposing a rich metadata browser, and an easy workflow to create visualizations out of any result set.
- An extensible, high granularity security model allowing intricate rules on who can access which product features and datasets. Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, ...)
- A lightweight semantic layer, allowing to control how data sources are exposed to the user by defining dimensions and metrics
- Out of the box support for most SQL-speaking databases
- Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
- Fast loading dashboards with configurable caching


Databases
---------

The following RDBMS are currently supported:

- `Amazon Athena <https://aws.amazon.com/athena/>`_
- `Amazon Redshift <https://aws.amazon.com/redshift/>`_
- `Apache Drill <https://drill.apache.org/>`_
- `Apache Druid <http://druid.io/>`_
- `Apache Hive <https://hive.apache.org/>`_
- `Apache Impala <https://impala.apache.org/>`_
- `Apache Kylin <http://kylin.apache.org/>`_
- `Apache Pinot <https://pinot.incubator.apache.org/>`_
- `Apache Spark SQL <https://spark.apache.org/sql/>`_
- `BigQuery <https://cloud.google.com/bigquery/>`_
- `ClickHouse <https://clickhouse.tech/>`_
- `CockroachDB <https://www.cockroachlabs.com/>`_
- `Dremio <https://dremio.com/>`_
- `Elasticsearch <https://www.elastic.co/elasticsearch/>`_
- `Exasol <https://www.exasol.com/>`_
- `Google Sheets <https://www.google.com/sheets/about/>`_
- `Greenplum <https://greenplum.org/>`_
- `IBM Db2 <https://www.ibm.com/analytics/db2/>`_
- `MySQL <https://www.mysql.com/>`_
- `Oracle <https://www.oracle.com/database/>`_
- `PostgreSQL <https://www.postgresql.org/>`_
- `Presto <http://prestodb.github.io/>`_
- `Snowflake <https://www.snowflake.com/>`_
- `SQLite <https://www.sqlite.org/>`_
- `SQL Server <https://www.microsoft.com/en-us/sql-server/>`_
- `Teradata <https://www.teradata.com/>`_
- `Vertica <https://www.vertica.com/>`_
- `Hana <https://www.sap.com/products/hana.html>`_
- `Amazon Athena </installation.html#aws-athena>`_
- `Amazon Redshift </installation.html#database-dependencies>`_
- `Apache Drill </installation.html#apache-drill>`_
- `Apache Druid </installation.html#druid>`_
- `Apache Hive </installation.html#database-dependencies>`_
- `Apache Impala </installation.html#database-dependencies>`_
- `Apache Kylin </installation.html#database-dependencies>`_
- `Apache Pinot </installation.html#database-dependencies/>`_
- `Apache Spark SQL </installation.html#database-dependencies>`_
- `BigQuery </installation.html#google-bigquery>`_
- `ClickHouse </installation.html#database-dependencies>`_
- `CockroachDB </installation.html#database-dependencies>`_
- `Dremio </installation.html#dremio>`_
- `Elasticsearch </installation.html#elasticsearch>`_
- `Exasol </installation.html#exasol>`_
- `Google Sheets </installation.html#database-dependencies>`_
- `Greenplum </installation.html#database-dependencies>`_
- `IBM Db2 </installation.html#database-dependencies>`_
- `MySQL </installation.html#database-dependencies>`_
- `Oracle </installation.html#database-dependencies>`_
- `PostgreSQL </installation.html#postgresql>`_
- `Presto </installation.html#presto>`_
- `Snowflake </installation.html#snowflake>`_
- `SQLite </installation.html#database-dependencies>`_
- `SQL Server </installation.html#database-dependencies>`_
- `Teradata </installation.html#teradata>`_
- `Vertica </installation.html#database-dependencies>`_
- `Hana </installation.html#hana>`_

Other database engines with a proper DB-API driver and SQLAlchemy dialect should
be supported as well.
Expand Down

0 comments on commit 9573a28

Please sign in to comment.