Lightweight Task queue on Erlang/OTP, SQLite-backed, no overengineering
Setting up Kafka or such enterprise oriented software with their clusters or dedicated servers is heavy and bothering enough that most small teams or indie hackers skip it entirely and making compromise to use in-memory queues. I wanted something in between: a persistent queue that is simple to run (one binary, which makes one sqlite db), gets real fault isolation and crash recovery due to Elixir, easy to inspect (open ezra.db in any SQLite browser and see every task), and requires no new client library - it speaks the Redis Streams wire protocol, so any Redis client in any language just…
Lightweight Task queue on Erlang/OTP, SQLite-backed, no overengineering launched on June 10, 2026 with 75 votes, #561 of 22,647 launches that month and more than 95% of that year's launches.
In plain words
Ezra is a lightweight task queue built on Erlang/OTP and backed by SQLite, designed as a middle ground between simple in-memory queues and heavy enterprise solutions like Kafka. It runs as a single binary that creates one SQLite database, offering persistent job storage with fault isolation and crash recovery through Elixir. Tasks are easily inspectable by opening the SQLite database directly. The queue speaks the Redis Streams protocol, so any existing Redis client in any programming language works without requiring new libraries.
written from the facts on this page · September 2026
From the sources
Contribute to entGriff/ezra development by creating an account on GitHub.
EZRA is a persistent task queue. Multiple services push tasks in, multiple workers pull them out and confirm when done. Each task stays visible and explicitly tracked until a worker marks it finished - no silent drops, no fire-and-forget. Backed by SQLite, powered by the Erlang/OTP runtime. Workers connect with any Redis client (Redis itself is not needed) in any language - no new SDK required. This project is maintained by a single author and pull requests are not accepted. Issues for bugs or questions are welcome. docker run -d --name ezra \ -p 42002:42002 \ -v ezra_data:/data \ ghcr.io/entgriff/ezra That is the entire server setup. Now, from any machine that can reach that port: import…from github.com
In the maker’s words, at launch
Setting up Kafka or such enterprise oriented software with their clusters or dedicated servers is heavy and bothering enough that most small teams or indie hackers skip it entirely and making compromise to use in-memory queues. I wanted something in between: a persistent queue that is simple to run (one binary, which…
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