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…
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
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 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 works out of the box. Very short demo video: [https://www.youtube.com/watch?v=MLYyD3DVWmE]
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