> 2. ORMs do not hide SQL nastiness. This is certainly true! I mean: ORMs are now well known to "make the easy queries slightly more easy, while making intermediate queries really hard and complex queries impossible". I think the are of ORMs is over. It simply did not deliver. If a book on SQL is --say-- 100 pages, a book on Hibernate is 400 pages. So much to learn just to make the easy queries slightly easier to... - Source: Hacker News / about 2 months ago

Another strategy is to model access control declaratively and enforce it in the application layer. ZenStack (built above Prisma ORM) and Hasura are good examples of this approach. The following code shows how access policies are defined with ZenStack and how a secured CRUD API can be derived automatically. - Source: dev.to / 3 months ago

Today, this ecosystem is going strong with new providers like Hasura, AppWrite and Supabase powering millions of projects. There are a few reasons people choose this style of hosting, especially if they are more comfortable with frontend development. BaaS lets them set up a database in a secure way, expose some business logic on top of the data, and connect via a dev-friendly SDK from their app or website code to... - Source: dev.to / 4 months ago

Hi! If you’ve ever thought about something like using GraphQL for something like this.. You might like Hasura. (Obligatory I work for Hasura) We’ve got an OpenAPI import and you can setup cron-jobs or one-off jobs and do things like load in headers from the environment variables to pass through. There isn’t currently an easy journey for chaining multiple calls together without writing any code at all, but you can... - Source: Hacker News / 4 months ago

Hasura.io — Hasura extends your existing databases wherever it is hosted and provides an instant GraphQL API that can be securely accessed for web, mobile, and data integration workloads. Free for 1GB/month of data pass-through. - Source: dev.to / 4 months ago

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 / almost 3 years ago

For similar results, you can use SQL with IndexedDB running fully client-side: https://github.com/agershun/alasql. - Source: Hacker News / about 3 years ago