mujib77

mujib77 / pgstream

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Real-time PostgreSQL WAL reader built in GO - captures INSERT, UPDATE, DELETE using logical replication

cdc database-internals golang logical-replication mermaidjs
12
0
100% credibility
Found May 10, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

pgstream is a program that connects to a PostgreSQL database to capture and display real-time changes like inserts, updates, and deletes in a readable format.

How It Works

1
🔍 Discover pgstream

You learn about a handy tool that lets you watch every change in your database as it happens, like having a live feed of all adds, edits, and removes.

2
💾 Get the program

You download the simple program to your computer and get it ready to run.

3
📝 Share your database info

You tell the program where your database is and give it a special name for tracking changes.

4
🔧 Prep your database

You make a quick setting in your database to allow real-time watching.

5
🚀 Start the live watch

You launch the program, it connects smoothly, and begins listening for any changes.

6
✏️ Make changes

You go to your database and add, update, or delete some information.

👀 See changes instantly

Right away, you see exactly what changed, which table it was in, and the before-and-after details printed on your screen, keeping everything in sync.

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AI-Generated Review

What is pgstream?

pgstream is a lightweight Go tool for real-time PostgreSQL data capture, tapping into WAL via logical replication to stream every INSERT, UPDATE, and DELETE as clean JSON events to your console. It solves the pain of polling databases for changes, delivering postgresql real time replication and sync for analytics or dashboards without heavy infrastructure. Setup is straightforward: point it at your DATABASE_URL, create a publication, and run it for instant postgresql real time data output.

Why is it gaining traction?

Unlike bloated CDC tools like Debezium, pgstream is dead simple—no Kafka, no clusters—just Go binaries handling pgoutput decoding for real time postgresql streams. Developers dig the zero-config Docker potential (pgstream docker) and LSN tracking for reliable positioning in real time github data flows. Its console JSON spew hooks quick prototypes for real time dashboard github or postgresql real time analytics.

Who should use this?

Backend engineers building real time api github endpoints or postgresql real time sync for user-facing apps like collaborative tools (real time collaboration github). Ideal for data teams prototyping real time database postgresql pipelines before scaling to production CDC. Skip if you need enterprise features like multi-table filtering.

Verdict

Promising for hobbyists or spikes into real time postgresql, but 1.0% credibility score and 12 stars signal early immaturity—basic docs, light tests, no Docker image yet. Try it for interviews (postgresql real time interview questions) or pgstream movies demos, but production folks wait for more polish.

(178 words)

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