Mercurius VS ProxySQL

Mercurius

Mercurius is a GraphQL adapter for Fastify, providing you with tools that make it easier for you to use GraphQL with your existing codebase.

ProxySQL

ProxySQL: high-performance, GPL licensed MySQL proxy. It supports hundreds of thousands of concurrent connections and can be multiplexed to hundreds of servers.

Landing page //
2023-08-31

Landing page //
2023-05-23

HG 1/144 Vayeate And Mercurius Review | GUNDAM WING

ProxySQL videos

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#ProxySQL Use Case Scenarios - #ProxySQL #Database Tutorial - René Cannaò - #Percona Live 2017

Category Popularity

0-100% (relative to Mercurius and ProxySQL)

ProxySQL

Project Management

100 100%

Project Management

0% 0

Databases

0 0%

Databases

100% 100

GraphQL

100 100%

GraphQL

0% 0

MySQL Tools

0 0%

MySQL Tools

100% 100

User comments

Share your experience with using Mercurius and ProxySQL. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, ProxySQL seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Mercurius mentions (0)

We have not tracked any mentions of Mercurius yet. Tracking of Mercurius recommendations started around May 2023.

ProxySQL mentions (10)

Save Cost on RDS Data Transfer - Internet - Out
Another option could be ProxySQL, where you can cache queries on the ProxySQL server. Source: about 1 year ago
Is replication between v5.1 and v8 possible?
Also, if you're not using it yet, I can recommend looking at ProxySQL to do your read-write/read-only failover controls. Source: over 1 year ago
SSL Termination for SQL
What are the recommendations here? I took a look into ProxySQL and it looks like since v2, it can do frontend and backend SSL connections. I have it locally working on a docker setup. Source: over 1 year ago
Business complexity with performance
DB: Split you write-read operations. You may scale read as needed. Write operations can be slow if you have too many indices, so make sure to use only the ones you really need. Your DBMS may have some configuration to optimise, for example in MySQL if you do NOT need ACID compliance you can set innodb_flush_log_at_trx_commit = 2 to achieve better write speed. For MySQL you should also look into https://proxysql.com/. Source: over 1 year ago
Advanced caching mechanisms using distributed locks and async pub/sub systems.
A Layer-7 Database Load Balancer is optional here. An L7-DBLB can be used for various use cases (eg: ProxySQL). One or more database instances handle queries from the web server. A Client-side DB query/connection load balancing can also be used instead of an L7-DBLB according to the use case of the application. - Source: dev.to / almost 2 years ago