High-Performance ETL Engine written in Rust. Streaming Zero-Copy architecture for massive data processing.

Joined December 2025
PardoX 0.3.2 ya salió: Streaming SQL, Wasm, Data Contracts, mejor interoperabilidad con BI y más poder Out-of-Core + Zero-Copy. ¿Qué probarías primero? #Rust #DataEngineering
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PardoX 0.3.2 is out: Streaming SQL, Wasm, Data Contracts, smarter BI interoperability, and more Out-of-Core + Zero-Copy power. What would you benchmark first? #Rust #DataEngineering
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Hook: Parquet is the industry king, but... what if you could read at 4.6 GB/s? 🤯 Copy: Meet .prdx, pardoX's native binary format. Purpose-built for high-speed analytics and repeated in-memory reads. When Parquet hits its limit (1-2 GB/s), pardoX's native format just flies. #PardoX #DataEngineering #Analytics #RustLang
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Tired of rewriting the same data logic for your backend, frontend, and ML scripts? 🫠 Copy: With pardoX, we built a single Rust engine that compiles into a universal binary. Zero host dependencies. Write your ETL once and run it at native speed across Python, PHP, or JavaScript. Check out how clean the syntax is across all three 👇 #PardoX #RustLang #DataEngineering #Python #PHP
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Replying to @blelbach
This is exactly why I'm building @Pardox_io . By using Rust and WGPU, we are bypassing the C++ legacy layer entirely. We treat the GPU as a direct programmable target, lowering high-level data logic straight to machine code (Vulkan/Metal). C++ is no longer the required bridge; it’s now the bottleneck we are actively removing.
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Node.js meets raw Rust power! ⚡️ PardoX v0.3.1 is out. The universal zero-copy engine for massive data is here. npm install @pardox/pardox Docs on GitHub!
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Bring universal zero-copy speed to PHP! 🚀 PardoX v0.3.1 is officially live. composer require betoalien/pardox-php Docs are on our GitHub. Go break it!
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The universal zero-copy engine is back. PardoX v0.3.1 is live! 🚀 GPU sort, native DBs, and raw Rust speed for Python. pip install --upgrade pardox
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Hello World. PardoX v0.1 Beta is live. ⚡️ A high-performance Data Engine built in Rust. Zero-Copy architecture for instant file loading. Python SDK available today. Install: pip install pardox
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The Bear is awake. 🐻 We ditched Windows for Linux. We bypassed Python drivers for native PostgreSQL connection. 640M rows processed in 182s on a laptop. This is the final log before v0.1 Launch (Jan 19). Read the engineering deep dive below. 👇
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New Year, new optimizations. 💻 From the pardoX team, we wish you a productive 2026 full of clean code and hard work. Let’s make this the year of high-speed data. ⚡ Happy 2026! #pardoX #DataEngine #Rust #Backend #SoftwareEngineering #TechYear
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After months of working in the trenches, optimizing every byte in Rust to process 640 million rows on a standard i5 laptop, I’ve finally published my official pitch. This is the result of endless debugging nights and the belief that the "Forgotten Sector" deserves high-performance tools without cloud dependency. I’d truly appreciate it if you could take a look at my entry. To be clear: this isn't a popularity contest or a "like" competition—the judges evaluate the technical approach. I’m just asking you to check out the video and the project; your views and feedback are the real support I need for the upcoming Beta. 🔗 Check out my entry here: dev.to/betoalien/pardox-proc… #PardoX #Rust #DataEngineering #showdev #muxchallenge #BigData #Performance #ETL #SoftwareDevelopment
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It’s time to give the engine its own voice. 🦀 I’ve officially launched the dedicated account for pardoX. If you want to follow the engineering deep dives, benchmarks, and the road to the January 2026 release without the noise, follow here: 👉 @pardox_io See you there.
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We didn’t build pardoX for petabyte clusters. We built it for the reality of 16GB RAM laptops. Milestone Unlocked: 50M rows parsed & compressed in 11.68s. ⚡️ Pardox brings modern #RustLang performance to legacy monoliths (PHP, Java, COBOL) without the HTTP tax. "Mid Data" just got a new engine. The road to MVP starts here: Medium: medium.com/@albertocardenasc… Substack: albertocardenas.substack.com… #DataEngineering #ETL #SystemsProgramming #MidData
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