examples VS omnigres

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.

Web application fragmentation often poses a considerable obstacle for emerging companies. At Xata, we've faced and addressed this dilemma by standardizing our technological tools through the implementation of Next.js. Opting for this approach has brought a range of benefits, including simplified maintenance, efficient development, improved SEO, and overall a consistent user experience.

Xata (https://xata.io) | Typescript Software Engineers | Fully Remote: based in Europe or East Coast USA | Asynchronous | Full time

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.

Enter Xata and Vue.js – a dynamic duo that promises to revolutionize how you approach file management. Xata, a modern, lightweight database designed for developers, and Vue.js, the progressive JavaScript framework known for its flexibility, combine seamlessly to help you craft a feature-rich File Explorer that is easy to develop and delightful to use.

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.

In the realm of database management and API development, one of the most common challenges developers face is optimizing the retrieval of data from one-to-many relationships while avoiding the notorious N+1 problem. 🦋 Xata, a cutting-edge database solution, has introduced a new approach to address this issue, making it more efficient and developer-friendly. In this article, we'll delve into Xata's innovative syntax for navigating one-to-many relationships, providing real-world examples to illustrate its advantages.

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.

I've been writing Postgres extensions for a few years now (mostly in C and Python), and I have to say that an important contribution from companies like Tembo and Omnigres is in the area of tooling and boilerplate. From workflows to Dockerfiles [0], that's important for the future of Postgres.

This has been discussed in the past [1], but the Postgres tooling ecosystem has been primarily C-Makefile—mailing list driven, and there used to be a lot of Makefile targets copy-pasting. Whenever major Postgres providers wanted to open source some of their extensions / sub-products. I still feel, however, that a lot of Postgres C-know-how is being slowly forgotten / lost, and I think it will be necessary again soon. Internal things as how Postgres handles varlena, StringInfo, JsonbValue, etc. The core abstractions that make Postgres work.

0: https://github.com/omnigres/omnigres/blob/master/Dockerfile

If you think that's cool, you might also want to check out Omnigres:

https://github.com/omnigres/omnigres

At Omnigres, our north star is to enable developers to laser-focus on business needs instead of fighting technological challenges.

We're fighting the complexity and inefficiencies of contemporary stacks by removing them instead of hiding them.

At the core, we are turning Postgres into an Application Runtime. Why? Because we believe that code and data are inseparable in pretty much all of the line-of-business application systems. Turns out, when done this way, applications work a lot faster, require a lot less maintenance and are simply easier to write.

Our foundation is open source and is available at https://github.com/omnigres/omnigres

We're backed by some great early-stage VCs and looking to onboard people who can move quickly, learn on the go and maintain the focus on the goals. Another way to look at it: we want to meet other pragmatic idealists.

Email: [email protected]

Check out Omnigres: https://github.com/omnigres/omnigres/wiki/Bounties

They just launched a bounty program recently.

Omnigres | Founding Engineer | SF Bay Area HQ | REMOTE

At Omnigres, our north star is to enable developers to laser-focus on business needs instead of fighting technological challenges.

We're fighting the complexity and inefficiencies of contemporary stacks by removing them instead of hiding them.

At the core, we are turning Postgres into an Application Runtime. Why? Because we believe that code and data are inseparable in pretty much all of the line-of-business application systems. Turns out, when done this way, applications work a lot faster, require a lot less maintenance and are simply easier to write.

Our foundation is open source and is available at https://github.com/omnigres/omnigres

We're backed by some great early-stage VCs and looking to onboard people who can move quickly, learn on the go and maintain the focus on the goals. Another way to look at it: we want to meet other pragmatic idealists.

You can apply here https://wellfound.com/jobs/2832133-founding-engineer

Couple of questions (with notes): Yes, I'd really like to write code next to the db with more suitable (for task) languages like Python. But at the moment SQL alone is supported..? Could one connect with Jupyter notebook somehow and have a REPL like experience with Omnigres instance?

Also, this [1] seems intriguing. How do containers connect to the db? What would the performance differences to the "internal" approach? Is this feature more like Lambda or for long running processes? Or something else? In any case very interesting.

Thank you!

[1] https://github.com/omnigres/omnigres/tree/master/extensions/...

Very much in the same vein: https://github.com/omnigres/omnigres