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3.0 KiB
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61 lines
3.0 KiB
Plaintext
---
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title: Introduction
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hide_title: true
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sidebar_position: 1
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---
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## What is Apache Superset?
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Apache Superset is a modern, enterprise-ready business intelligence web application. It
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is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill
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sets to explore and visualize their data, from simple pie charts to highly detailed deck.gl
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geospatial charts.
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Here are a **few different ways you can get started with Superset**:
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- Download the [source from Apache Foundation's website](https://dist.apache.org/repos/dist/release/superset/1.4.1/)
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- Download the latest Superset version from [Pypi here](https://pypi.org/project/apache-superset/)
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- Setup Superset locally with one command
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using [Docker Compose](installation/installing-superset-using-docker-compose)
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- Download the [Docker image](https://hub.docker.com/r/apache/superset) from Dockerhub
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- Install the latest version of Superset
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[from Github](https://github.com/apache/superset/tree/latest)
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Superset provides:
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- An intuitive interface for visualizing datasets and crafting interactive dashboards
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- A wide array of beautiful visualizations to showcase your data
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- Code-free visualization builder to extract and present datasets
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- A world-class SQL IDE for preparing data for visualization, including a rich metadata browser
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- A lightweight semantic layer which empowers data analysts to quickly define custom dimensions and metrics
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- Out-of-the-box support for most SQL-speaking databases
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- Seamless, in-memory asynchronous caching and queries
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- An extensible security model that allows configuration of very intricate rules on on who can access which product features and datasets.
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- Integration with major authentication backends (database, OpenID, LDAP, OAuth, REMOTE_USER, etc)
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- The ability to add custom visualization plugins
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- An API for programmatic customization
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- A cloud-native architecture designed from the ground up for scale
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Superset is cloud-native and designed to be highly available. It was designed to scale out to large,
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distributed environments and works very well inside containers. While you can easily test drive
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Superset on a modest setup or simply on your laptop, there’s virtually no limit around scaling out
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the platform.
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Superset is also cloud-native in the sense that it is flexible and lets you choose the:
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- web server (Gunicorn, Nginx, Apache),
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- metadata database engine (MySQL, Postgres, MariaDB, etc),
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- message queue (Redis, RabbitMQ, SQS, etc),
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- results backend (S3, Redis, Memcached, etc),
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- caching layer (Memcached, Redis, etc),
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Superset also works well with services like NewRelic, StatsD and DataDog, and has the ability to run
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analytic workloads against most popular database technologies.
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Superset is currently run at scale at many companies. For example, Superset is run in Airbnb’s
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production environment inside Kubernetes and serves 600+ daily active users viewing over 100K charts
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a day.
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You can find a partial list of industries and companies embracing Superset
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[on this page in GitHub](https://github.com/apache/superset/blob/master/RESOURCES/INTHEWILD.md).
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