April 29, 2024, 8:33 p.m. | dhilipsiva

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GitHub: https://github.com/dhilipsiva/py-compress-compare


When dealing with large volumes of data, compression can be a critical factor in enhancing performance, reducing storage costs, and speeding up network transfers. In this blog post, we will dive into a comparison of four popular Python compression libraries—zlib, LZ4, Brotli, and Zstandard—using a real-world dataset to evaluate their performance in terms of compression ratio and time efficiency.





The Experiment Setup


Our test involved a dataset roughly 581 KB in size, named sample_data.json. We executed compression and …

blog comparison compression costs data dataset efficiency libraries network performance popular python storage storage costs terms will world

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