Alasql VS GraphQL

Sql.js is pretty hard to use as is otherwise you run out of memory really quickly. I was trying to use it as the in-memory SQL flavor for an open source data ide [0] but my naive approach of `SELECT * FROM VALUES (...), ...` would run out of memory after only a few hundred rows. I ended up switching to https://github.com/agershun/alasql which could handle up to 80MB of data or so. I don't think this is a... - Source: Hacker News / over 2 years ago

For similar results, you can use SQL with IndexedDB running fully client-side: https://github.com/agershun/alasql. - Source: Hacker News / almost 3 years 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 / 13 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 / 21 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 / 27 days 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 / 6 months ago