Shiva Raisinghani ef3afbde82 refactor: Repeated boilerplate code between upload to database forms (#16756)
* abstract boilerplate code into class and rename csv to file

* add db migration

* fix some stuff

* more renaming of csv to file

* rename in translations

* update down revision

* update down revision

* bump chart version

* switch to alter column name approach in db migration

* fix db migration for MySQL

* db migration conflict
2021-10-25 13:53:06 +03:00
2021-10-14 08:07:47 -07:00
2021-10-14 12:08:48 +01:00
2021-09-25 07:26:35 +02:00

Superset

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Superset

A modern, enterprise-ready business intelligence web application.

Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

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Slice & dice your data


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Choose from a wide array of visualizations


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.

Here are some of the major database solutions that are supported:

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

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Extended documentation for Superset

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

Languages
TypeScript 50.3%
Python 39.2%
Jupyter Notebook 6.2%
HTML 3.4%
JavaScript 0.5%
Other 0.3%