automq
pgmq
automq | pgmq | |
---|---|---|
8 | 14 | |
1,421 | 1,848 | |
50.4% | 58.0% | |
9.9 | 8.9 | |
3 days ago | 3 days ago | |
Java | Rust | |
GNU General Public License v3.0 or later | PostgreSQL License |
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
-
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
-
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
pgmq
- Pgmq: Lightweight message queue extension for Postgres
- Replace SQS / RSMQ with pgmq: A lightweight message queue based on Postgres
-
Introducing pgzx: create PostgreSQL extensions using Zig
And lots of interesting extensions use it, like
https://github.com/tembo-io/pgmq
https://github.com/zombodb/zombodb
https://github.com/supabase/pg_jsonschema
-
Show HN: Hatchet – Open-source distributed task queue
Have you considered https://github.com/tembo-io/pgmq for the queue bit?
- Show HN: An SQS Alternative on Postgres
-
Postgres as Queue
some notes about pgmq, https://github.com/tembo-io/pgmq, that is on this list. It is built as an extension in Postgres, which makes it compatible with all languages that have a Postgres driver.
There's no 'magic' to it, it uses existing Postgres features so all the performance and consistency guarantees of Postgres are to be expected. Easily gets to 10k+ concurrent reads and writes even on smaller sized Postgres instances, which is more than most applications need.
- FLaNK Weekly 31 December 2023
-
What are the best job-scheduling tools, frameworks or libraries?
Newer project but there's no library needed. https://github.com/tembo-io/pgmq. They have a pretty simple SQL api similar to SQS. It's an extension though, so some cloud provider will not support it.
- FLaNK Stack Weekly for 20 Nov 2023
-
Choose Postgres Queue Technology
PGMQ does not require a client library, https://github.com/tembo-io/pgmq so long as your language of choice can run SQL. All the functions live in Postgres, and you just call them with SQL statement. Very similar feel and semantics to SQS.
What are some alternatives?
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss
memq - MemQ is an efficient, scalable cloud native PubSub system
kubeblocks - KubeBlocks is an open-source control plane that runs and manages databases, message queues and other data infrastructure on K8s.
depthai-python - DepthAI Python Library
FLaNK-EveryTransitSystem - Every transit system
FLaNK-SaoPauloBrazil - FLaNK-SaoPauloBrazil
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
trip - Elegant middleware functions for your HTTP clients.
CML_AMP_Intelligent-QA-Chatbot-with-NiFi-Pinecone-and-Llama2 - The prototype deploys an Application in CML using a Llama2 model from Hugging Face to answer questions augmented with knowledge extracted from the website. This prototype introduces Pinecone as a database for storing vectors for semantic search.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)