# bloomberg/blazingmq

A modern high-performance open source message queuing system

Repository: https://github.com/bloomberg/blazingmq
Canonical: https://ross.abutalabs.com/products/blazingmq
Homepage: https://bloomberg.github.io/blazingmq/
Language: C++
License: Apache-2.0
License Family: permissive
Topics: distributed-systems, message-queue, messaging, middleware, queue, queues, blazingmq
Last push: 2026-08-26T20:44:47+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 82
- inputs: {"age_days": 1149, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3208, forks 193 (observed 2026-08-28T04:07:48.671177+00:00)

## What it is
BlazingMQ is a distributed, high-performance message queuing system written in C++, providing durable, fault-tolerant queues with rich routing strategies. It includes the message broker, a C++ client library, and a CLI tool, with Java and Python clients in separate repositories.

## Use cases
- decouple producer and consumer services with asynchronous messaging
- build work queue pipelines for distributed task processing
- fan-out messages to multiple consumer groups
- run a self-hosted message broker with strong consistency and replication
- reduce network bandwidth in high fan-out workflows with multi-hop topology
- replace Kafka or RabbitMQ for latency-sensitive messaging workloads

## When to choose
- you need durable, highly available queues with strong consistency
- you want low median and p99 latency without external dependencies like ZooKeeper
- you need flexible routing strategies such as work queues, priority, fan-out, or broadcast
- you are building event-driven microservices in C++, Java, or Python

## When to avoid
- you need a managed cloud-native messaging service
- your stack requires clients in languages other than C++, Java, or Python
- you need a lightweight embedded queue rather than a distributed broker cluster
- you rely on a large ecosystem of third-party connectors and tooling

## Facets
- artifact type: service
- maturity: stable
- function: message-queue, middleware, streaming
- domain: microservices, backend, developer-tools
- platform: cpp, cross-platform
- tags: message-broker, event-driven-architecture, work-queues, fan-out, high-throughput, clustering, replication, messaging, linux

## Member repositories
- bloomberg/blazingmq (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:48.671177+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:44:57.734864+00:00, confidence not recorded.
  - readme: https://github.com/bloomberg/blazingmq (fetched 2026-08-28T04:07:48.671177+00:00, sha 383690dd433e)
  - homepage: https://bloomberg.github.io/blazingmq/ (fetched 2026-08-29T09:38:11.076645+00:00, sha 785e042113bf)
- Data as of 2026-08-30T08:39:29.467469+00:00.