platform VS neon

Disclaimer: I'm the creator of Dashjoin (https://github.com/dashjoin/platform)

Implementing the features you mentioned:

Once you connect your SQL / NoSQL database, you're immediately able to view, query, search, and edit the data. Every record implicitly has a "homepage". On this page, you can add active elements to automate tasks via REST services. We do this using JSONata (jsonata.org) which is a super expressive and concise transformation and query language. You can find some samples in our demo application (https://github.com/dashjoin/dashjoin-demo).

The core philosophy is to get immediate results and refine from there, depending on your cost / benefit calculation.

SDLC:

I think this is a very important point! Even though you're working with low code, it is still a development project with testing, staging, and production, issues, tickets, etc.

I agree that once a project gets a bit more complex, these points are very important.

In our low code platform (https://github.com/dashjoin/platform), you end up writing several JSONata (https://jsonata.org/) snippets for ETL, actions, and visualizations.

These can be tested using junit. All changes to the app can be managed and deployed via GitHub. You can check out our sample app:

GitHub: https://github.com/dashjoin/dashjoin-demo

We scan the DB schema and suggest possible joins. The platform also supports basic CRUD operations using forms powered by JSON Schema. Would love to hear your feedback! Github: https://github.com/dashjoin/platform

If you're reading this you probably got a really steep bill from Neon after finding yourself on their "Scale" plan. If you do want to stay with Neon but avoid surprise bills then go to the Plans page and choose what you actually want.

Such is the case with Neon, a serverless Postgres service, that went generally available on April 15. Congrats Nikita Shamgunov and team on the launch. When I saw the announcement, I knew I had to try it out for myself and report back with my findings.

I want to use this as a chance to bring attention to a GitHub issue that I think would help reduce friction for Neon:

https://github.com/neondatabase/neon/issues/4989

If the Neon driver were to allow us to easily pass in a localhost connection, the development and test experience would be easier. Perhaps Neon could swap to something like this internally: https://github.com/porsager/postgres.

Having run a local dev environment connected to Neon and tests connected to Neon got in our way of adoption. We'd prefer to develop and run tests against a regular Postgres localhost database.

To the PMs of Neon, put yourself in the shoes of a new developer thinking of giving Neon a try. What changes will I have to make to my code and my development workflow?

Neon is an open source and cloud-native serverless database platform that focuses on simplicity and ease of use. It supports Postgres databases and offers built-in features like bottomless storage, autoscaling, and branching.

For MySQL, we've got PlanetScale, and for PostgreSQL, there's Neon.

8. https://neon.tech/As you might know not one tool fits all, I still have strong preferences for the following. It helps me get going faster and get things done right first time and helps in ease of maintenance.

Language: Typescript.

Migrated away when they removed the free tier, ended up using https://neon.tech/

Cool! At Neon[0], I work full time on our custom postgres proxy[1]. It's a very nice protocol to work with, although our usecase is quite a bit more complex compared to the ideas presented in the post.

Neon databases scale to zero, so the proxy needs to spin up databases on the fly. The proxy doesn't do that but it knows if the databases is running and asks our control plane to schedule it if it isn't. It's a fun service to maintain.

The biggest pain is error handling. Postgres is really bad for error messages and codes. The only available code we can use is usually protocol violation...

[0]: https://neon.tech/

Neon - PostgreSQL