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readysettech / readyset

Readyset is a MySQL and Postgres wire-compatible caching layer that sits in front of existing databases to speed up queries and horizontally scale read throughput. Under the hood, ReadySet caches the results of cached select statements and incrementally updates these results over time as the underlying data changes.
https://readyset.io
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backend cache caching caching-proxy databases mysql mysql-database postgres postgresql postgresql-database rust rust-lang sql streaming-data

readme

ReadySet is a transparent database cache for Postgres & MySQL that gives you the performance and scalability of an in-memory key-value store without requiring that you rewrite your app or manually handle cache invalidation. ReadySet sits between your application and database and turns even the most complex SQL reads into lightning-fast lookups. Unlike other caching solutions, it keeps cached query results in sync with your database automatically by utilizing your database’s replication stream. It is wire-compatible with Postgres and MySQL and can be used along with your current ORM or database client.

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:star: If you find ReadySet useful, please consider giving us a star on GitHub! Your support helps us continue to innovate and deliver exciting new features.

Quickstart

To get started in five minutes or less, run:

bash -c "$(curl -sSL https://launch.readyset.io)"

You can also install via a Docker image or with a Linux binary. See our getting started guide for more details!

ReadySet Cloud is a managed service that scales your database with ease. If you're interested in trying out ReadySet Cloud, try it today!

Useful Links

Community support

For general help using ReadySet, see our official docs. For additional help, you can use one of these channels to ask questions, or give us feedback:

Contributing

We welcome contributions! Here are a few helpful links to get you started:

License

ReadySet is licensed under the BSL 1.1 license, converting to the open-source Apache 2.0 license after 4 years. It is free to use on any number of nodes.