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Haydex: Engineering Journey to 178.6 Billion Rows Per Second Database Performance

By

pdubroy

8mo ago· 17 min readenInsight

Summary

This article tells the engineering story of Haydex, a database company that transformed a failed filter prototype into a production system capable of processing 178.6 billion rows per second in just 30 days. The narrative begins with the company facing an existential threat as their needle-in-the-haystack queries became too slow for large-scale customers like Hyperscale Customer. The piece details the technical journey from brute-force scanning approaches to developing a high-performance solution that could handle massive data volumes efficiently.

Key quotes

· 3 pulled
Nearly every great engineering story starts not with a grand plan, but with a nagging, infuriating problem.
Our customers, especially giants like Hyperscale Customer, were pushing data at a scale that made our brute-force scanning approach look like trying to find a specific grain of sand on a planet-sized beach with a teaspoon.
This is the story of how we turned a failed filter prototype into a production system running at 178.6B rows/sec in 30 days.
Snippet from the RSS feed
This is the story of how we turned a failed filter prototype into a production system running at 178.6B rows/sec in 30 days.

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