Apache Superset in detail

Superset was started as a project at Airbnb to serve as an open & fully customizable application to visualize and explore massive amounts of data in a fast & intuitive way.

Since its release as an open-source project, hundreds of companies have started to use it, more than 418 developers contribute to its source code and it has been battle-tested in environments with hundreds of daily active users.

The superset is now being incubated as a project of the Apache Software Foundation and is often mentioned as an alternative to Tableau, Looker, Power BI, and other business intelligence solutions.

2. Share interactive dashboards:
Easily filter the data on the dashboard and drill deeper into the details of any chart. Organize contents in a grid layout and even on different tabs.
Share any chart or dashboard by simply copy & paste the URL. You can even make dashboards public, use them on a TV screen with auto-refresh or embed them into your own websites or applications.

3. SQL editor directly in the browser:
Superset comes with SQL Lab — a modern, feature-rich SQL IDE for deeper analysis of your data. Write queries against your database, view table metadata and visualize the results as charts.

Disadvantages

Maybe this the best part of this article:D because of everywhere they only speak about superset features but they don’t about the weakness or disadvantages of it also, it’s not only about superset! it’s about almost all the products that I know and it’s a good idea to read this section before deciding to install superset!

Apache Superset can run on the sequential and distributed mode. In sequential mode, it can only run queries that run below 60 seconds.

Superset installation is super easy just follow these steps:

Also, it can configure to work with Gunicorn and Gevent:

For running Celery worker with Gevent just run this:

In addition, I create the GitHub repository to install superset with Ansible playbooks. It’s not totally completed but it’s easy and useful.

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