Hugh A. Miles II e3e37cb68f chore: switching out ConnectorRegistry references for DatasourceDAO (#20380)
* rename and move dao file

* Update dao.py

* add cachekey

* Update __init__.py

* change reference in query context test

* add utils ref

* more ref changes

* add helpers

* add todo in dashboard.py

* add cachekey

* circular import error in dar.py

* push rest of refs

* fix linting

* fix more linting

* update enum

* remove references for connector registry

* big reafctor

* take value

* fix

* test to see if removing value works

* delete connectregistry

* address concerns

* address comments

* fix merge conflicts

* address concern II

* address concern II

* fix test

Co-authored-by: Phillip Kelley-Dotson <pkelleydotson@yahoo.com>
2022-06-21 13:22:39 +02:00
2021-11-30 16:37:23 +08:00
2022-01-04 17:01:42 +02:00
2022-03-15 06:29:18 +13:00
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 Involved | Contributor Guide | Resources | Organizations Using Superset

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) 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 firebolt timescale rockset postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres netezza pinot teradata yugabyte

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 50.5%
Python 38.8%
Jupyter Notebook 6.3%
HTML 3.5%
JavaScript 0.5%
Other 0.3%