Periscope vs Superset: What are the differences?

Developers describe Periscope as "Periscope plugs directly into your database and lets you run, save and share analyses over billions of data rows in seconds". Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast. On the other hand, Superset is detailed as "Data exploration and visualization platform, by Airbnb". Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Periscope and Superset can be categorized as "Business Intelligence" tools.

Some of the features offered by Periscope are:

• Beautiful Visualizations
• Expert Query Tools
• Seamless Sharing

On the other hand, Superset provides the following key features:

• A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities
• An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler)
• A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user

"Great for learning and teaching people SQL" is the top reason why over 4 developers like Periscope, while over 2 developers mention "Awesome interactive filtering" as the leading cause for choosing Superset.

Superset is an open source tool with 24.8K GitHub stars and 4.77K GitHub forks. Here's a link to Superset's open source repository on GitHub.

According to the StackShare community, Superset has a broader approval, being mentioned in 18 company stacks & 5 developers stacks; compared to Periscope, which is listed in 19 company stacks and 3 developer stacks.