JagritGumber

JagritGumber / pgrx

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BEAM + Rust PostgreSQL-compatible database. Lightweight, no vacuum, infinite connections.

17
0
89% credibility
Found Mar 25, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

pgRx is a memory-efficient database compatible with PostgreSQL tools and queries, designed for high connection counts with minimal resource use.

How It Works

1
💡 Discover pgRx

You learn about pgRx, a clever database option that works exactly like the popular one but uses much less memory for many users connecting at once.

2
📥 Bring it home

Download the simple files to your computer to get your lightweight database ready.

3
🚀 Wake it up

Follow easy steps to start pgRx, and it begins listening for connections right away.

4
🔗 Hook up your tool

Connect using the same database app you're used to, like your regular query tool, with no changes needed.

5
🗃️ Shape your data

Make tables, store info, update records, and ask questions of your data just as you always do.

6
⚡ Feel the speed

Watch it handle lots of connections smoothly with tiny memory use, staying quick even when busy.

🎉 Database dream achieved

You now run an efficient, familiar database that saves memory and powers your work effortlessly.

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AI-Generated Review

What is pgrx?

pgrx is a PostgreSQL-compatible database blending Erlang's BEAM VM for connections with a Rust query engine, letting you use the same SQL dialect and drivers as Postgres. It ditches Postgres's memory-hungry process-per-connection model—14MB idle each—for BEAM's lightweight processes that hibernate to 0KB when idle, supporting infinite connections without external pooling. Fire it up with Elixir's mix run, connect via psql on port 5432, and run complex queries like JOINs, subqueries, aggregates, INSERT/UPDATE/DELETE with RETURNING, plus pgvector-style vector ops.

Why is it gaining traction?

In a world of beam rust cheat sheets and erlang beam github projects, pgrx stands out by slashing connection memory 100x while matching Postgres wire protocol—psql and drivers work unchanged. Benchmarks show 50 idle connections add just 768KB versus Postgres's 729MB, with 2x query throughput early on. No VACUUM bloat yet (undo-log MVCC planned), and built-in hibernation handles spiky loads better than traditional DBs or beam python github alternatives.

Who should use this?

Elixir/Phoenix backend devs scaling chat apps or APIs with thousands of concurrent users, where connection pooling kills perf. Serverless teams on edge runtimes needing Postgres compat without cold starts or memory spikes. ML engineers testing vector search via pgvector ops before committing to full Postgres.

Verdict

Early alpha (17 stars) with solid pgrx docs and 97 passing tests, but in-memory storage means no persistence yet—prototype only. 0.9% credibility score reflects promise; watch roadmap for WAL/ACID, then swap in for high-conn workloads.

(198 words)

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