Based on our record, GraphQL seems to be a lot more popular than ProxySQL. While we know about 223 links to GraphQL, we've tracked only 10 mentions of ProxySQL. 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.
Another option could be ProxySQL, where you can cache queries on the ProxySQL server. Source: about 1 year ago
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
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
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
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 / over 1 year ago
GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint. - Source: dev.to / 19 days ago
When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much. - Source: dev.to / 27 days ago
REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request. - Source: dev.to / about 1 month ago
A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications. - Source: dev.to / about 1 month ago
In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / 7 months ago
Gonarch Tech - MySQL High Availability as a service
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
PostgREST - Automatic REST API for Any Postgres Database
Next.js - A small framework for server-rendered universal JavaScript apps
MariaDB MaxScale - We are the company behind #MariaDB, the fastest growing #opensource #database. Download MariaDB at https://t.co/DtYwuH0FOl.
React - A JavaScript library for building user interfaces