Daniel Vaz Gaspar 136f90f87c feat: SavedQuery REST API for bulk delete and new API fields (#10793)
* feat: SavedQuery REST API for bulk delete

* fix, singular msg and test

* remove 403 from OpenAPI spec

* filter by current user using created_by add sql_tables field

* fixes for new filter, add user field on pre_update, pre_add

* add lru cache to property

* Revert "add lru cache to property"

This reverts commit ad0d9428
2020-09-11 09:36:47 +01:00
2020-08-11 13:17:25 -07:00
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 | 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

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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.

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