copycat
neon
Our great sponsors
copycat | neon | |
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13 | 123 | |
316 | 12,279 | |
4.8% | 7.2% | |
8.8 | 9.9 | |
2 months ago | 3 days ago | |
TypeScript | Rust | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
copycat
- Resend – Incident report for February 21st, 2024
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Greenmask: PostgreSQL Dump and Obfuscation Tool
Check out https://www.snaplet.dev (I'm the founder). We do exactly this.
- Pgtemp: The easiest way to write tests with Postgres in Rust, without Docker
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Supabase Branching
Testing with product workloads today? If you need to test with production workloads today, check out Snaplet and Postgres.ai. Both are great partners of Supabase.
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How Modern SQL Databases Are Changing Web Development - #3 Better Developer Experience
It’s worth noting that being able to branch production data for testing easily doesn’t mean you should just do it. It poses a significant risk of leaking sensitive user data. You should consider using tools like Snaplet to transform and anonymize sensitive columns.
- Show HN: Seed your Postgres development database with production-like data
- Show AWS: Snaplet clones a subset of your Postgres RDS instance, whilst anonymizing the data, so that you can restore it into your development environments: Local, staging, and preview.
- Show HN: Seed your Postgres database with production-like data
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Databricks acquires serverless Postgres vendor bit.io
[disclosure: I'm the founder of Snaplet]
I think there are a lot of different reasons why people may want to use a service like bit.io, but if you want a database with data in it to code against, run tests against, reproduce production related data-bugs, and run e2e tests against then check out https://www.snaplet.dev.
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Postgres WASM by Snaplet and Supabase
For now, this is very experimental - but it has a lot of potential. If you want to get involved, please reach out to us or the team at [Snaplet(https://www.snaplet.dev/). The work they're doing over at Snaplet is incredible, and we've had a blast collaborating with them.
neon
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Serverless Postgres with Neon - My first impression
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.
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Neon Is Generally Available: Serverless Postgres
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?
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11 Planetscale alternatives with free tiers
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.
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Breaking the Myth: Scalable, Multi-Region, Low-Latency App Exists And Will Not Cost You A Kidney.
For MySQL, we've got PlanetScale, and for PostgreSQL, there's Neon.
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Ask HN: Freelance website builders/maintainers, what's in your 2024 toolkit?
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.
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Why PlanetScale broke our trust in database startups
Migrated away when they removed the free tier, ended up using https://neon.tech/
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Parsing the Postgres protocol – logging executed statements
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: Serverless Postgres
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No More Free Tier on PlanetScale, Here Are Free Alternatives
Neon - PostgreSQL
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PlanetScale performs layoff and prioritizes profitability
For those looking for alternatives check out https://neon.tech/, https://turso.tech/ and https://developers.cloudflare.com/d1/.
What are some alternatives?
Replibyte - Seed your development database with real data ⚡️
supabase - The open source Firebase alternative.
faker - Generate massive amounts of fake data in the browser and node.js
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
falso - All the Fake Data for All Your Real Needs 🙂
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
helm-charts - neondatabase helm charts
orioledb - OrioleDB – building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems) 🇺🇦
fakey - web-based fake data generator.
MongoDB - The MongoDB Database
postgres-wasm - A PostgresQL server in your browser
edgedb - A graph-relational database with declarative schema, built-in migration system, and a next-generation query language