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Tanstack DB 0.5 Query-Driven Sync: Loading data will never be the same

Blog post from LogRocket

Post Details
Company
Date Published
Author
David Omotayo
Word Count
3,163
Company Posts That Month
60
Language
-
Hacker News Points
-
Post removed?
No
Summary

TanStack's latest feature, Query-Driven Sync, aims to enhance developer efficiency by streamlining data management through a shift in how data fetching, caching, and updates are approached, particularly in complex applications prone to API sprawl. As a part of the TanStack DB v0.5 update, this feature allows developers to define queries directly within client components, which TanStack DB then transforms into targeted network requests, eliminating the need for numerous backend endpoints. Query-Driven Sync supports three sync modes—Eager, On-demand, and Progressive—each tailored to different data-loading requirements and capable of optimizing network usage by fetching only necessary data slices. This approach not only improves performance but also simplifies lifecycle management and enhances scalability by integrating seamlessly with REST, GraphQL, or tRPC APIs, as well as sync engines like Electric and PowerSync, which provide further benefits such as delta-only syncing and automatic predicate translation. Through features like automatic request collapsing, subset/delta loading, and optimized joins, Query-Driven Sync offers a more efficient and scalable solution for building React applications, supporting incremental adoption and backend agnostic setups while leveraging TanStack Query's cache policies to minimize unnecessary network requests.

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