Optimizing Data Management with Instant

This chapter explores the technical implementation of Datascript in the backend, focusing on in-memory data structures and real-time query tracking. The discussion highlights innovative solutions for processing user-specific queries and minimizing data transmission, inspired by applications like Asana and Figma. Additionally, it introduces InstaQL, a new query language that enhances the user experience by simplifying complex relational data querying.