zeybek

zeybek / ulak

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PostgreSQL extension for reliable async message delivery to HTTP, Kafka, MQTT, Redis, AMQP & NATS — atomically committed with your transaction, using the transactional outbox pattern

amqp background-worker event-driven extension http
11
1
100% credibility
Found Apr 16, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

Ulak is a PostgreSQL extension providing transactional outbox for atomic, reliable message delivery to HTTP, Kafka, MQTT, Redis, AMQP, and NATS.

How It Works

1
🔍 Discover Reliable Messaging

You want your database app to send notifications or events to other services without losing any, even if something crashes.

2
📦 Add to Your Database

Install the helper inside your PostgreSQL database so it works seamlessly with your data.

3
🎯 Set Up Destinations

Point it to where messages should go, like web services, queues, or streams, with simple details.

4
✨ Send Your First Message

Inside your normal database work, add a message and commit – it gets queued safely and automatically.

5
🚀 Watch Delivery Happen

Background friends pick up messages, send them reliably with smart retries if needed.

6
📊 Check and Manage

See what's sent, retry any issues, or pause destinations easily from your database.

✅ Messages Flow Perfectly

Your app now sends events reliably every time, no data lost, fully integrated with your database.

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AI-Generated Review

What is ulak?

ulak is a PostgreSQL extension implementing the transactional outbox pattern for reliable async message delivery. You queue messages with SQL like `ulak.send('webhook', '{"event": "order.created"}')` inside transactions, ensuring atomic commits, while background workers deliver to HTTP, Kafka, MQTT, Redis, AMQP, or NATS with retries, circuit breakers, and dead letter queues. Built in C like postgresql extensions postgis or timescaledb, it includes Docker Compose for instant setup with all brokers.

Why is it gaining traction?

It solves the dual-write problem natively in Postgres—no polling loops or external CDC tools—delivering exactly-once writes and at-least-once semantics via simple SQL APIs. Standout user features include pub/sub fan-out, priority/scheduled delivery, idempotency keys, CloudEvents, and monitoring views like `ulak.health_check()`. Devs grab it for the wiki docs, github postgresql docker quickstart, and reliability matching mature postgresql extensions like timescaledb.

Who should use this?

Postgres backend devs building event-driven apps or microservices with webhooks, Kafka topics, or MQTT brokers, tired of unreliable app-level retries. Suited for teams using terraform postgresql extension deploys or needing outbox for order processing, user events, or IoT telemetry without added infra.

Verdict

Promising v0.0.2 Apache-licensed github repo at 11 stars and 1.0% credibility—early but battle-tested with regression/isolation tests and full wiki. Fire up docker compose for eval if Postgres outbox fits; skip for prod until more adoption.

(198 words)

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