# elixir-broadway/broadway

Concurrent and multi-stage data ingestion and data processing with Elixir

Repository: https://github.com/elixir-broadway/broadway
Canonical: https://ross.abutalabs.com/products/elixir-broadway-broadway
Homepage: https://elixir-broadway.org
Language: Elixir
License: Apache-2.0
License Family: permissive
Topics: elixir, genstage, data-ingestion, data-processing, concurrent, broadway
Last push: 2026-08-01T07:58:41+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 2858, "days_push": 32, "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 2677, forks 179 (observed 2026-08-28T04:07:09.878480+00:00)

## What it is
Broadway is an Elixir library for building concurrent, multi-stage data ingestion and processing pipelines on top of GenStage. It provides built-in back-pressure, batching, acknowledgements, rate-limiting, fault tolerance, and integrations with producers like Amazon SQS, Kafka, RabbitMQ, and Google Pub/Sub.

## Use cases
- consume SQS messages concurrently in Elixir
- build a Kafka event processing pipeline
- batch process RabbitMQ messages and write to PostgreSQL
- ingest Google Pub/Sub events with back-pressure
- add rate limiting to a message processing pipeline
- process large volumes of data concurrently with fault tolerance

## When to choose
- you need long-lived, concurrent ETL or event-processing pipelines in Elixir
- you want built-in back-pressure, batching, and automatic acknowledgements
- you consume from supported producers like SQS, Kafka, RabbitMQ, or Pub/Sub
- you need ordering, partitioning, and graceful shutdown out of the box

## When to avoid
- you need one-off batch scripts rather than long-lived pipelines
- your stack is not Elixir/Erlang
- you need a full stream processing engine with windowing like Flink or Spark Streaming

## Facets
- artifact type: library
- maturity: stable
- function: streaming, message-queue, concurrency, rate-limiting, monitoring, etl
- domain: backend, microservices
- platform: elixir, jvm
- tags: genstage, data-ingestion, data-processing, backpressure, batching, sqs, kafka, rabbitmq, pubsub, fault-tolerance, data-engineering, messaging, automation

## Member repositories
- elixir-broadway/broadway (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:09.878480+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 2026-08-30T02:17:59.993056+00:00, confidence not recorded.
  - readme: https://github.com/elixir-broadway/broadway (fetched 2026-08-28T04:07:09.878480+00:00, sha f7d2fa220325)
  - homepage: https://elixir-broadway.org (fetched 2026-08-29T10:00:22.593083+00:00, sha 66445d46774e)
- Data as of 2026-08-30T08:39:29.467469+00:00.