Blog
Compression research, benchmarks, and product updates from the PZIP team.
How to Reduce Data Lake Storage Costs: Compression Playbook for CSV, JSON, and Logs
A practical playbook to reduce data lake storage costs using better compression strategy, tiering, and verification workflows.
Looking for an LZMA Alternative? Here Is When Type-Aware Compression Wins
If you are evaluating an LZMA alternative, this guide breaks down where legacy compressors still win and where structure-aware compression wins bigger.
Zstd vs LZMA: Compression Ratio, Speed, and When to Use Each
Comparing zstd vs lzma? Here is a practical benchmark-oriented guide, including where type-aware compression can outperform both.
Compress XLSX File Online: Shrink Excel Workbooks Without Breaking Formulas
Need to compress XLSX file size online? This guide covers safe workbook compression, what to avoid, and why container-aware methods matter.
Lossless PDF Compression Online: Reduce PDF Size Without Quality Loss
Looking for lossless PDF compression online? Learn which methods preserve visual quality and document fidelity, and how to test results correctly.
Log File Compression Tool Guide: Reduce Log Storage Costs Without Losing Searchability
Evaluating a log file compression tool? This guide explains template-aware compression, retention impact, and how to keep logs queryable.
Compress JSONL / NDJSON Files: Best Tooling for Log and Event Pipelines
Need NDJSON compression for event streams? Learn how to compress JSONL safely and why column-aware methods can massively outperform generic compression.
Compress JSON File Online: Fast Lossless JSON Compression for APIs and Exports
If you need to compress JSON file size online, this guide covers practical techniques, expected savings, and how to avoid invalid payloads.
Compress CSV File Online Free: How to Shrink Large CSVs Without Losing Data
Searching for a way to compress CSV file size online for free? This guide explains what works, what breaks data, and how to reduce CSV size safely.
How PZIP Compresses CSV Files Up to 69% Smaller Than LZMA
CSV is the most common data format in enterprise data lakes. PZIP's type-aware approach achieves up to 68.8% better compression than LZMA-9.
Why Datacenters Need Type-Aware Compression: The $100B Storage Problem
Global storage costs exceed $100B/year. A 20% reduction through better compression means billions saved and measurable environmental impact.
3,117 Wins: A Deep Dive into Our Compression Benchmarks
We tested PZIP against LZMA, gzip, brotli, and zstd on 3,184 real-world files. Here's exactly how we did it and what we found.
PZIP Launches Type-Aware Compression Platform with 3,117 Wins Across 3,184 Files
New compression technology achieves 3,117 wins across 20 file types and 3,184 files with 98% win rate. Patent pending. Free beta now available at pzip.net.
Introducing PZIP: Type-Aware Compression That Beats LZMA on Every File Type
PZIP is a new compression paradigm that understands your data. 3,117 wins across 3,184 real-world files spanning 20 file types.