automq
memq
| automq | memq | |
|---|---|---|
| 8 | 2 | |
| 1,421 | 113 | |
| 50.4% | 1.8% | |
| 9.9 | 6.4 | |
| 3 days ago | 16 days ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | 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.
automq
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Tiered storage won't fix Kafka
I agree with your viewpoint. The crux of the matter is not whether to use tiered storage or not, but what trade-offs have been made in the specific storage architecture and what benefits have been gained. Here(https://github.com/AutoMQ/automq?tab=readme-ov-file#-automq-...) is a qualitative comparison chart of streaming systems including kafka/confluent/redpanda/warpstream/automq. This comparison chart does not have specific numerical comparisons, but purely based on their trade-offs at the storage level, I think this will be of some use to you.
- Streaming Platform Comparision:Kafka/Confluent/Pulsar/AutoMQ/Redpanda/Warpstream
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Show HN: AutoMQ – A Cost-Effective Kafka distro that can autoscale in seconds
Yes, thank you for the clarification. AutoMQ has replaced the topic-partition storage with cloud-native S3Stream (https://github.com/AutoMQ/automq/tree/main/s3stream) library, thereby harnessing the benefits of cloud EBS and S3.
- FLaNK Stack Weekly for 20 Nov 2023
memq
What are some alternatives?
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
FLaNK-EveryTransitSystem - Every transit system
depthai-python - DepthAI Python Library
awesome-public-real-time-datasets - A list of publicly available datasets with real-time data maintained by the team at bytewax.io
FLaNK-SaoPauloBrazil - FLaNK-SaoPauloBrazil
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
trip - Elegant middleware functions for your HTTP clients.
ai-exploits - A collection of real world AI/ML exploits for responsibly disclosed vulnerabilities
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
flatpak - Linux application sandboxing and distribution framework
imgbeddings - Python package to generate image embeddings with CLIP without PyTorch/TensorFlow