How I Built a 37 Million Row Search Engine That Returns Results in 200ms

A developer created a search engine for B2B leads using ClickHouse, achieving sub-200ms query times on 37 million rows, demonstrating significant performance benefits over traditional databases like Postgres. The project highlights the importance of server-side bulk operations and efficient database choice for handling large datasets with complex queries.

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