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docs: add link to intro with supported database types (#24313)
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@ -36,7 +36,7 @@ Superset provides:
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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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- Out-of-the-box support for [most SQL-speaking databases](https://superset.apache.org/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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@ -59,8 +59,8 @@ Superset is also cloud-native in the sense that it is flexible and lets you choo
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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 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 also works well with [event-logging](https://superset.apache.org/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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