A robust background job queue in a single native binary.
High-performance background job processing and task scheduling powered by a persistent LSM-tree database. No Redis. Works in any stack.
Observability
Watch your queues in real time.
Stay in control with a built-in terminal UI providing live queue depth and worker activity at a glance.
Control
Find and update jobs using expressive filters.
Being enqueued doesn't mean it should be locked in. In the real world things happen that require identifying and operating on enqueued jobs.
Zizq let’s you quickly find jobs by matching attributes and powerful jq–style expressions. Atomically move matching jobs between
queues, re-prioritise, re-schedule or delete using
the same filters.
PATCH /jobs ?type=send_email &filter=.to|endswith(".au") { "priority": 10 }
Official client libraries provide fluent and composable interfaces to manage enqueued jobs.
Universal Integration
Works across your entire stack via a simple HTTP/2 API.
Need to enqueue in Node and process in Rust? Zizq does that.
Zizq is a language agnostic job queue that can be used in any environment with an HTTP client. The Zizq server does most of the work.
Official client libraries for Ruby, Node.js and Rust integrate with the Zizq server and handle connection management and concurrent job dispatch, so your application stays focused on the important stuff.
In a polyglot architecture jobs can be enqueued in any language and processed by a worker in any other language.
Persistent by default
Jobs survive crashes, disconnects, and restarts. Built on a transactional LSM-tree database.
Prioritised queues
Granular priorities blended with simple FIFO. Mix strategies across queues.
Backoff and retry
Configurable exponential backoff, global or per-job retry limits, and a dead-letter queue.
HTTP/2 multiplexing
High-throughput enqueue and streaming job acquisition over a single connection.
Unique jobs
Prevent duplicates at enqueue time. Uniqueness scoped by lifecycle, not arbitrary TTLs.
Recurring schedules
Time zone aware cron-style schedules with second-level granularity for periodic work.