Skip to content

Performance

Jump to bottom
Vaqint edited this page Sep 28, 2025 · 3 revisions

Using React Native with Spring Boot and MongoDB creates a strong foundation for building mobile apps that are both performant and scalable.

React Native renders with native components, which means smooth animations and near-native speed, all from a single codebase across iOS and Android.

Spring Boot serves as the backend layer, providing production-ready APIs with minimal configuration. It handles routing, request processing, and caching, which integrates seamlessly with MongoDB through Spring Data. Spring Boot guarantees dependable and quick communication between the database and the mobile application with capabilities like connection pooling and asynchronous request handling.

MongoDB powers the data layer with a flexible document model that works naturally with JSON-like data. Fast queries are made possible via indexing, and expansion is supported by horizontal scaling. MongoDB is perfect for mobile apps since it provides offline-first syncing via Realm and real-time updates with Change Streams.

Together, React Native, Spring Boot, and MongoDB deliver: a responsive frontend, an efficient backend, and a scalable database. APIs can be optimized to return only the required data, reducing payload sizes and improving load times.

To prove performance, it’s essential to establish baselines early. The metrics that will be used include app startup time, API latency, and database query performance (indexed vs. non-indexed). This will demonstrate the performance that our app claims to achieve, and will also establish a standard that we aim to maintain throughout development, as well as any potential improvements we may make in the future.

  1. Problem Analysis

    1. Problem Statement

    2. Problem Risks

  2. Investigation

    1. Background

    2. Rollout Strategy

      1. Security
      2. Performance
      3. Deployment Plan

    3. User Investigation

      1. Designing Experiments
      2. Conduct Experiments
      3. Result Analysis
      4. Interpretation

    4. Usability Testing

      1. Purpose of the Study
      2. Target Users and Demographics
      3. Testing Environment
      4. Test Methodology
      5. Usability Tasks
      6. Testing Procedure

  3. Technical Design

    1. Architecture

      1. Architecture Layer
      2. UML Class Diagram
      3. Interaction/Sequence Diagrams
      4. Use Case Diagrams

    2. UI Mockups

      1. Personas
      2. Mockups

  4. Release Doc (Design)

    1. Iteration Summaries

    2. Epics/Feature Summary

  5. Frameworks

    1. Stack Explanation

    2. Softwares for IDE's

    3. Frameworks and Libraries

    4. Docker Info

    5. Naming Conventions

    6. Testing Pipeline

  6. Business Model

    1. Monetization

    2. Cost of Project

      1. Planning
      2. Development

    3. Monetary Projections

  7. Individual Section

    1. What Did You Need To Learn?

    2. How Did You Learn It?

  8. Meeting Minutes

  9. Disclaimers

    1. User Consent annd End-User License Agreement

    2. Legal and Ethical Issues

    3. Diversity Statement

Clone this wiki locally