Here are a few different ways you can get started with Superset:

• Download the
• Download the latest Superset version from Pypi here
• Setup Superset locally with one command using
• Download the Docker image from Dockerhub
• Install the latest version of Superset

• An intuitive interface for visualizing datasets and crafting interactive dashboards
• 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.
• The ability to add custom visualization plugins
• An API for programmatic customization
• A cloud-native architecture designed from the ground up for scale

Superset is cloud-native and designed to be highly available. It was designed to scale out to large, distributed environments and works very well inside containers. While you can easily test drive Superset on a modest setup or simply on your laptop, there’s virtually no limit around scaling out the platform.

• web server (Gunicorn, Nginx, Apache),
• metadata database engine (MySQL, Postgres, MariaDB, etc),
• message queue (Redis, RabbitMQ, SQS, etc),
• caching layer (Memcached, Redis, etc),

Superset also works well with services like NewRelic, StatsD and DataDog, and has the ability to run analytic workloads against most popular database technologies.

You can find a partial list of industries and companies embracing Superset on this page in GitHub.