onyx-platform/onyx

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

2051 stars · 200 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Onyx is a masterless, fault-tolerant distributed computation system written in pure Clojure that supports both batch and stream processing through a unified workflow model. It competes with systems like Storm, Flink, and Spark for real-time event processing, ETL, and map-reduce style data transformation.

Use cases

• process realtime event streams in a distributed cluster
• run fault-tolerant ETL pipelines
• build CQRS systems with continuous computation
• perform map-reduce style data transformations
• transfer data between storage mediums
• clean and transform large datasets

When to choose

• you need a hybrid batch and streaming processing model on the JVM
• you want a masterless architecture without a single point of failure
• your team works in Clojure and wants workflow definitions as data

When to avoid

• you need an actively maintained project - the latest release is from 2019
• you prefer mainstream ecosystems with large communities like Spark or Flink
• you need non-JVM language support

Facets

library · maturity abandoned

streaming etl data-science workflow-automation concurrency big-data microservices jvm jvm-scripting cross-platform distributed-computation batch-processing stream-processing masterless fault-tolerant map-reduce cqrs clojure data-engineering real-time automation

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