neon
dragonfly
Our great sponsors
neon | dragonfly | |
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123 | 49 | |
12,279 | 23,791 | |
7.2% | 6.1% | |
9.9 | 9.9 | |
about 16 hours ago | 5 days ago | |
Rust | C++ | |
Apache License 2.0 | BSL 1.1 |
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.
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 β 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/.
dragonfly
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Redict is an independent, copyleft fork of Redis
https://github.com/dragonflydb/dragonfly is another option. Not a fork but API-compatible reimplementation.
- Redis License Changed
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Scaling Real-Time Leaderboards with Dragonfly
Our journey will involve leveraging the capabilities of Dragonfly, a highly efficient drop-in replacement for Redis, known for its ultra-high throughput and multi-threaded share-nothing architecture. Specifically, we'll be utilizing two of Dragonfly's data types: Sorted-Set and Hash. These data structures are perfect for handling real-time data and ranking systems, making them ideal for our leaderboards.
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Announcing Dragonfly Search
2023 has been a year with remarkable advancements in AI capabilities, and at Dragonfly, we are thrilled to power new use cases with our latest release: Dragonfly Search. This new feature set, debuting in Dragonfly v1.13, is a subset of RediSearch-compatible commands implemented natively in Dragonfly, allowing for both vector search and faceted search use cases in the highly scalable and performant Dragonfly in-memory data store.
- Dragonfly v1.10.0
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Dragonfly Cache Design
If you have not heard about Dragonfly - please check it out. It uses - what I hope - novel and interesting ideas backed up by the research from recent years [1] and [2]. It's meant to fix many problems that exist with Redis today. I have been working on Dragonfly for the last 7 months and it has been one of the more interesting and challenging projects I've ever done!
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Generating Income from Open Source
I recently ran across the the license for Dragonfly [1] which has some restrictions (rights reserved), but 5 years after the license date the license switches to Apache 2.0. Basically a timed-limited rights reservation. I don't hate it. I might even contribute to such a project for free.
I would consider something like this: When I release code, it's rights reserved for 5 years, then open-source (and this baked into an irrevocable license). Anyone may use the software for non-commercial purposes. Anyone may contribute, those who contribute will be granted permission for commercial use if I deem their contributions significant enough. Anyone may distribute the software under these terms.
If such a model became popular, I have a hard time imagining it could make things any worse. It might even accelerate open-source development. You might say, "but it's not open-source", fair enough, but we can view it as open-source contribution with a delay. For example, if this model became wildely popular this year, and we saw great progress with this model, then come 2028 we would be flooded with new open-source software and ultimately might be better off than it would have been without this model.
(And this whole thing makes me rethink copyright and patents and how much they really contribute to society. Perhaps they should be shortened?)
[1]: https://github.com/dragonflydb/dragonfly/blob/main/LICENSE.m...
- dragonflydb/dragonfly: A modern replacement for Redis and Memcached
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Redis HA on k8s without Sentinel?
Maybe check out https://www.dragonflydb.io/ It claims to have a full redis implementation.
- Dragonfly is about 10x slower than Redis
What are some alternatives?
supabase - The open source Firebase alternative.
KeyDB - A Multithreaded Fork of Redis
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
skytable - Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
orioledb - OrioleDB β building a modern cloud-native storage engine (... and solving some PostgreSQL wicked problems) Β πΊπ¦
Memcached - memcached development tree
MongoDB - The MongoDB Database
Aerospike - Aerospike Database Server β flash-optimized, in-memory, nosql database
edgedb - A graph-relational database with declarative schema, built-in migration system, and a next-generation query language
glommio - Glommio is a thread-per-core crate that makes writing highly parallel asynchronous applications in a thread-per-core architecture easier for rustaceans.