examples VS neon

xata.io - Xata is a serverless database with built-in powerful search and analytics. One API, multiple type-safe client libraries, and optimized for your development workflow. The free-forever tier is sufficient for hobby developers which comes with three units of Xata, please refer to the website for unit definition.

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Xata is building a modern cloud database on top of PostgreSQL. We offer features like: automatic scaling, branches, zero-downtime migrations, a built-in search engine, analytics, and more.

- We are engineer led: We build developer tooling, we trust our engineers to shape our products, and at our core we're a hardcore cloud infrastructure company.

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To get started with Xata, you need to sign up for a free account on their website. You will get access to a generous free tier that lets you create and manage up to 10 databases with 10 GB of storage each and 750k total records measured across all tables and 15 GB Data size on disk.

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Requests per second - 75 ⚡ Make sure to check it out at - Xata. 😃

From the official Xata documentation, Xata is a serverless database platform powered by PostgreSQL packed with features such as the fuzzy search, the ability to import CSV (comma-separated value), file attachments, Python and TypeScript SDK integration, and so on.

See the output as above? Good, now let's set up our database for storing all the scraped data. I'm choosing the serverless XataDB for this. There are couple of other serverless DBs that are as good as not more than this. However, for our $0 architecture and ease of use, I'll be using XataDB. Open up https://xata.io/ and create a free account. Set up your database name, location and click next.

In case anyone else was checking.

Noticed some missing ones, including https://xata.io (I work there). Didn't see a way to add it (looks like a simple Django app so probably manually adding it into the admin).

Guess you have to contact the author directly.

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