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Project Name

Achieving High-Performance Data Management for a Next.js Application with Tanstack Query v5

Industry
E-Commerce
Technology
Next.JS

Overview

Our client uses a Next.js application to deliver an interactive shopping experience to their customers. The problem emerged when their customers started facing glitches when switching pages or accessing offline. They needed an advanced data caching and state management solution to improve user data access. Initially, we integrated React Query v3 to handle API data fetching and caching. Upgrading to Tanstack Query v5 helped our client deliver a seamless and uninterrupted user experience to their customers. Also, the newly stabilized persistQueryClient capability allowed reliable client-side data storage across sessions.

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Challenges

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  • Data Persistence on Reloads and Offline Use: React Query v3 lacked features to effectively persist data across sessions. The client application experienced frequent data loss during page reloads or app restarts. So, the client wanted to improve the application performance and make it stable for customers.
  • User Experience Disruptions: Users also faced sudden disruption when using the application. Users had to restart tasks from scratch whenever they refreshed the page or reopened the app after a break. This interrupted workflows and impacted overall user engagement and satisfaction.
  • Complex Migration to Tanstack Query v5: Upgrading from React Query v3 to Tanstack Query v5 involved extensive compatibility adjustments. Significant changes in the API and configurations added complexity to the migration.
  • Reliable State Restoration: Restoring cached data accurately without impacting app performance posed a technical challenge. It required a robust system to ensure smooth state restoration across sessions, enhancing user experience and consistency.

Our Solution

The Ksolves team delivered a tailored solution for data persistence and user experience enhancements. Our structured approach ensured strong data integrity across sessions for all application users.

  • Migrating to Tanstack Query v5: Our team assessed the migration scope by reviewing the detailed changes from React to Tanstack. We mapped out the necessary updates and made incremental adjustments to the codebase to align with the new API conventions. Each step was tested rigorously to ensure system stability. This process kept the application stable and secure during the migration.
  • Implementing persistQueryClient for Data Persistence: We configured the new feature with local storage. This allowed the app to retain and restore cached data even after users refreshed or reopened the app. We configured this setup to work seamlessly with the Next.js framework and successfully reduced frequent API calls. This reduced loading times and enhanced the user experience by keeping the app state stable across sessions.
  • Optimizing Cache Management and Data Restoration: We developed a targeted cache management strategy to balance storage and performance. By retaining only essential data in the cache, we could maximize storage space and retrieval speeds. This selective approach allowed us to prioritize critical user data while efficiently discarding unnecessary data. Finally, our client received a high-performance app responsive to changing user demands.
Results
  • Reliable Data Persistence: Users no longer experience data loss after closing or refreshing the app. As the app now maintains data persistence, users can resume sessions from where they left off. This smooth continuity enhances user convenience and keeps them engaged. The app now delivers a seamless experience even in offline scenarios.
  • Improved Loading Speed: By caching data locally, we reduced dependency on continuous API calls. This led to faster loading times and an immediate response for users. Reduced loading delays created a more efficient experience, meeting users’ performance expectations. The app now feels swift and responsive.
  • Enhanced User Engagement: Users could resume work without restarting tasks, keeping them engaged and satisfied. This stability increased the app's usability and improved user retention rates. The overall experience became more user-friendly with fewer interruptions. As a result, users found the app more reliable and appealing.
  • Future-Ready Technology Stack: Tanstack Query v5 brought a stable and scalable foundation for ongoing enhancements. Future maintenance and feature upgrades are now simpler and more efficient. The upgraded tech stack aligns with evolving requirements, supporting easy expansions. The client now benefits from a forward-thinking, adaptable application structure.

Conclusion

The Ksolves team utilized their full-stack web development expertise to transform our client’s Next.js application by adopting persistQueryClient in Tanstack Query v5. Our migration approach helped the client overcome the existing performance issues. In return, the application users experienced a more resilient and high-performance platform that never delays while switching tabs. Users can now rely on consistent data availability and smooth state restoration across sessions. This upgrade positioned the application for long-term success with a stable and feature-rich state management solution.

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