ParadeDB Beats TIN by 66x on Filtered and Sorted Search Queries

Solving Postgres' Count Problem

ParadeDB's Ming Ying explains how segment partitioning by ctid, an inverted DocId-to-ctid map, and bitmap postings for dense terms cut COUNT query latency dramatically—visibility page accesses fell from 1,382 to 30. The post then tests filtered and time-sorted queries on Hacker News data, where ParadeDB outperforms TIN by 10x to 21.7x in throughput. Ying cautions that no single benchmark proves a "fastest" engine and urges testing your own queries.