Karol Kostrzewa 2ab490a101 test: birth names (#12226)
* add birth names fixture

* fix birth names related tests

* fix test_import_v0_dataset_cli_export columns order

* fix celery tests drop table

* fix mysql datetime type

* fix mysql typo in charts/api_tests

* refactor

* add licence

* fix use fixture for presto

* fix presto, hive query

* fix flaky metadata

* fix mysql bigint type

* fix run query

* fix hive datatype in metadata

* fix slice owner for cypress

* refactor num_boys num_girls

* fix is_dttm column

* debug logging

* fix query offset

* fix presto ds type in metadata

* fix presto ds type

* clean up debug logging
2021-01-11 05:57:55 -08:00
2021-01-11 05:57:55 -08:00
2021-01-11 05:57:55 -08:00
2019-11-20 15:47:06 +00:00
2020-03-25 22:00:41 -07:00

Superset

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Superset

A modern, enterprise-ready business intelligence web application.

Why Superset | Supported Databases | Installation and Configuration | Release Notes | Get Help | Contributor Guide | Resources | Superset Users

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Why Superset

Superset provides:

  • 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

Supported Databases

Superset speaks many SQL dialects through SQLAlchemy - a Python SQL toolkit that is compatible with most databases. Here are some of the major database solutions that are supported:

redshift google-biquery snowflake presto druid postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin

A complete list of supported databases can be found here.

Installation and Configuration

See in the documentation

Get Involved

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources

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