Choosing a Search Engine with Your Head
summary
Practical guide to building search: how to implement a simple custom search in one hour, one evening, or one week and when that effort is justified. Compares architectures and trade-offs of Sphinx, Lucene (and Solr/Elasticsearch built on it) and DBMS-integrated search engines, explains common benchmarking mistakes and marketing-driven defaults, and gives non-technical criteria for choosing a search technology.
AI-written summary · about
related talks
35mThings I Learned the Hard Way Building a Search Engine
40mSmarter Search with Spark, Solr and Machine Learning
34mBuilding a WebScale Search Engine with a Data Driven Architecture
48mStateless Search: Decoupling Storage and Compute for Search Engines
01h 02mWhy It Won't Be Found!
01h 22mBoot your search with Spring
46mDiscovery & Analytics with Hadoop, Mahout & Solr
42mImproving Search @scale with efficient query experimentation