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Dragonfly Alternatives
Similar projects and alternatives to dragonfly
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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.
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neon
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
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prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
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Apache Arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
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glommio
Glommio is a thread-per-core crate that makes writing highly parallel asynchronous applications in a thread-per-core architecture easier for rustaceans.
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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
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cachegrand
cachegrand - a modern data ingestion, processing and serving platform built for today's hardware
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kvrocks
Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.
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amzn-drivers
Official AWS drivers repository for Elastic Network Adapter (ENA) and Elastic Fabric Adapter (EFA)
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garnet
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
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dragonfly discussion
dragonfly reviews and mentions
- Databases in 2024: A Year in Review
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Valkey achieved one million RPS 6 months after forking from Redis
This is impressive work, but it highlights redis biggest design flaw: single threadedness.
I recently discovered dragonflydb[1] that is 100% redis compatible, but designed from the get-go to be multi threaded - and thus its performance gains are even bigger. I imagine it being designed for multi threadedness from the beginning allows it to offer better performance long term, but that's just anyone's guess.
1: https://github.com/dragonflydb/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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A note from our sponsor - SaaSHub
www.saashub.com | 20 Jan 2025
Stats
dragonflydb/dragonfly is an open source project licensed under BSL 1.1 which is not an OSI approved license.
The primary programming language of dragonfly is C++.