api
🚀 Core REST API & Gateway for Zaun (by zaunchat)
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. (by readysettech)
api | readyset | |
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1 | 24 | |
10 | 3,882 | |
- | 1.7% | |
4.5 | 9.8 | |
about 1 year ago | 7 days ago | |
Rust | Rust | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
api
Posts with mentions or reviews of api.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-15.
readyset
Posts with mentions or reviews of readyset.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-17.
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Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?
- Some platforms like Supabase Realtime [3] and Firebase offer subscription models to database changes, but these solutions fall short when dealing with complex queries involving joins or group-bys.
My vision is that the modern frontend to behave like a series of materialized views that dynamically update as the underlying data changes. Current state management libraries handle state trees well but don't seamlessly integrate with relational or graph-like database structures.
The only thing I can think of is to implement it by myself, which sounds like a big PITA.
Anything goes, Brainstorm with me. Is it causing you headaches as well? Are you familiar with an efficient solution? how are you all tackling it?
[1] https://readyset.io/
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FLaNK Stack 26 February 2024
Postgresql + MySQL Cache https://github.com/readysettech/readyset
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Readyset: A MySQL and Postgres wire-compatible caching layer
I just wanted to give a high five for having Jepsen tests for this: https://github.com/readysettech/readyset/tree/stable-240117/...
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Fine-grained caching strategies of dynamic queries
This example is a great use case for partial incremental view maintenance systems like ReadySet: you automatically get something like the “prepopulating the cache” section (toward the end of the blog) while only caching the data the application is using, and avoiding the need to manually implement any sort of invalidation logic.
(Disclaimer: I used to work for them, but don’t anymore. It’s all available for free on GitHub though for anyone interested: https://github.com/readysettech/readyset)
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Squeeze the hell out of the system you have
There are systems that will do that for you like https://readyset.io/.
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Production grade databases in Rust
ReadySet
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Dozer: A scalable Real-Time Data APIs backend written in Rust
readyset.io is the company that jonhoo was associated with for work on noria
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I'm building Memories, a FOSS alternative to Google Photos with a focus on UX and performance
Might be interesting to try out https://readyset.io for this use case.
- Materialized View: SQL Queries on Steroids
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Tips on scaling a monolithic Rust web server?
On the caching topic, I found the ReadySet(né Noria) approach to be extremely interesting.