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Overview

Best practices

Store is our solution for working with data in Kotlin. Whether you're building alone or with a team of thousands, Store can help.

Meet Store

Why Store?

Quickstart

Challenges at scale

Store foundations

The core component of the Store library, managing data flow between network, memory cache, and local storage in your app.

Store

Designed to handle not only data retrieval but also data mutations. Manages the complexities associated with data synchronization between local and remote sources, conflict resolution, and offline support.

Mutable Store

Single authoritative local data source, ensuring data consistency and enabling offline support.

Source of Truth

Responsible for retrieving data from remote sources, such as web services or APIs. It defines how fresh data is fetched when the the Store doesn't have the required information or when the data needs to be refreshed. 

Fetcher

Responsible for synchronizing local data mutations with remote data sources.

Updater

Designed to track local data changes that haven't been successfully synchronized with the remote data source. It plays a crucial role in conflict resolution, especially in applications that support offline operations or have intermittent network connectivity.

Bookkeeper

Allows you to define custom logic to determine whether your local data is still valid or if it needs to be refreshed from the remote source using the Fetcher.

Validator

Handles the transformation of data between network, local storage, and domain models.

Converter

Community resources

What's in Store?

What's in Store? | KotlinConf 2019

Meet Store5

Meet Store5 | Droidcon SF 2023

Network-Resilient Applications

Network-Resilient Applications | Talking Kotlin 2023

Meet StoreX Paging

Meet StoreX Paging | Droidcon SF 2024

Modern Paging at Scale

StoreX Paging at Scale | Droidcon NYC 2024

Store is designed to excel in a wide range of use cases. Explore these in-depth production guides to learn how to build common use cases with Store.

Guides to common use cases

Offline-First Data Access with Store and SqlDelight

Data Synchronization and Conflict Resolution

Error Handling and Retry Strategies

Authentication and Secure Data Access

Real-Time Data Updates

Handling Complex Data Relationships

Advanced Caching Strategies

Testing Store and Its Components

Integration with Jetpack Compose and SwiftUI

Migrating from Existing Data Layers

Security and Data Encryption

Working with Non-Paginated Lists

Ensuring Data Integrity and Freshness

Integrating Store with State Management Libraries Like Redux

Implementing Fallback Mechanisms to Enhance Resilience

Pagination and Infinite Scrolling

An architectural decision guide for single or multiple Stores.

Deciding Between Single or Multiple Stores

Coming soon

Get started

Learn about Store

Build with Store

Best practices

Single or Multiple Stores