Apache Superset is a modern data exploration and visualization platform
Superset is a data exploration platform designed to be visual, intuitive and interactive.
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.
Superset provides:
A quick way to intuitively visualize datasets by allowing users to create and share interactive dashboards
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
Deep integration with Druid allows for Superset to stay blazing fast while slicing and dicing large, realtime datasets
Fast loading dashboards with configurable caching
Grafana provides a powerful and elegant way to create, explore, and share dashboards and data with your team and the world.
Grafana is most commonly used for visualizing time series data for Internet infrastructure and application analytics but many use it in other domains including industrial sensors, home automation, weather, and process control.
Query Editor: think of JS Fiddle for SQL queries. It's your way to share data in the organization in an open way, by sharing both the dataset and the query that generated it.
Visualizations: once you have a dataset, you can create different visualizations out of it.
Dashboards: combine several visualizations into a single dashboard.