Query optimize 500x faster using a CQRS data store | Algolia

The text discusses the problem of scale in software architecture and how it can be solved using Command Query Responsibility Segregation (CQRS). It presents an example of a user forum named "SlackerNews" and explains how CQRS can improve query response times, enhance search UX, and reduce database load and cost. The text also provides details on data generation, benchmarking, and testing using PostgreSQL and Algolia index. It concludes by emphasizing the importance of making strategic choices in data storage and incorporating search data stores like Algolia to improve user experience and manage costs effectively.