67 lines
3.2 KiB
Plaintext
67 lines
3.2 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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- Try a [Quickstart deployment](/docs/quickstart), which runs a single Docker container
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- Install Superset [from PyPI](/docs/installation/installing-superset-from-pypi/)
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- Deploy Superset [using Docker Compose](/docs/installation/installing-superset-using-docker-compose)
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- Deploy Superset [with Kubernetes](/docs/installation/running-on-kubernetes)
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- Download the [source code from Apache Foundation's website](https://dist.apache.org/repos/dist/release/superset/)
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#### Video Overview
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https://user-images.githubusercontent.com/64562059/234390129-321d4f35-cb4b-45e8-89d9-20ae292f34fc.mp4
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#### Features
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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](/docs/databases/installing-database-drivers/)
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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 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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#### Backend Technology
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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 (PostgreSQL, MySQL, MariaDB),
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- Message queue (Celery, Redis, RabbitMQ, SQS, etc.),
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- Results backend (Redis, S3, Memcached, etc.),
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- Caching layer (Redis, Memcached, etc.)
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Superset also works well with [event-logging](/docs/installation/event-logging/)
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services like StatsD, NewRelic, and DataDog.
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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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