diff --git a/docs/index.rst b/docs/index.rst index d1f0e5813a4..9c2c5de133d 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -60,10 +60,14 @@ Superset Resources `contribution guidelines `_ and `code of conduct `_ - on Github. + on Github. (You can contribute to this documentation `here `_) - Our `mailing list archives `_. To subscribe, send an email to ``dev-subscribe@superset.apache.org`` -- `Join our Slack `_ +- `Superset Users `_ +- `Join our commmunity Slack channel `_ +- `Awesome Apache Superset `_ collection of learning resources from around the Internet. +- `StackOverflow Q&A `_ +- `Community Meetup Recordings `_ Apache Software Foundation Resources ==================================== @@ -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 `_ -- `Amazon Redshift `_ -- `Apache Drill `_ -- `Apache Druid `_ -- `Apache Hive `_ -- `Apache Impala `_ -- `Apache Kylin `_ -- `Apache Pinot `_ -- `Apache Spark SQL `_ -- `BigQuery `_ -- `ClickHouse `_ -- `CockroachDB `_ -- `Dremio `_ -- `Elasticsearch `_ -- `Exasol `_ -- `Google Sheets `_ -- `Greenplum `_ -- `IBM Db2 `_ -- `MySQL `_ -- `Oracle `_ -- `PostgreSQL `_ -- `Presto `_ -- `Snowflake `_ -- `SQLite `_ -- `SQL Server `_ -- `Teradata `_ -- `Vertica `_ -- `Hana `_ +- `Amazon Athena `_ +- `Amazon Redshift `_ +- `Apache Drill `_ +- `Apache Druid `_ +- `Apache Hive `_ +- `Apache Impala `_ +- `Apache Kylin `_ +- `Apache Pinot `_ +- `Apache Spark SQL `_ +- `BigQuery `_ +- `ClickHouse `_ +- `CockroachDB `_ +- `Dremio `_ +- `Elasticsearch `_ +- `Exasol `_ +- `Google Sheets `_ +- `Greenplum `_ +- `IBM Db2 `_ +- `MySQL `_ +- `Oracle `_ +- `PostgreSQL `_ +- `Presto `_ +- `Snowflake `_ +- `SQLite `_ +- `SQL Server `_ +- `Teradata `_ +- `Vertica `_ +- `Hana `_ Other database engines with a proper DB-API driver and SQLAlchemy dialect should be supported as well.