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Apps using GRDB

Download a list of all 4K GRDB customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
13M Viber Media SARL. *****@viber.com - http://www.viber.com/
11M Signal Messenger, LLC *****@signal.org - https://signal.org/
4M Pinger, Inc. *****@sideline.com - http://sideline.com/
2M WEVERSE COMPANY Inc. *****@kiswe.com
twitter instagram
https://weverse.co/
246K If Tech *****@iftech.io - https://menu-gpt-orpin.vercel.app/privacy
212K Sencent Technology (Wuhan) Co., Ltd. *****@sencent.com - https://www.damieapp.com/
202K Uneed Technology Co., Ltd. *****@uneed.com - https://www.uneed.com/
180K Lightricks Ltd. *****@lightricks.com - http://www.facetuneapp.com/
172K Guangzhou ZHIFENG Information Technology Co.,Ltd. *****@163.com - http://www.sharpmobi.com/
92K Time Base Technology Limited *****@goodnotes.com - https://www.goodnotes.com/

Full list contains 4K apps using GRDB in the U.S, of which 4K are currently active and 1K have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is GRDB?

GRDB, which stands for "A toolkit for SQLite databases, with a focus on application development," is a powerful and versatile Swift library designed to simplify database operations in iOS, macOS, and other Apple platform applications. This robust SDK provides developers with a comprehensive set of tools to efficiently manage SQLite databases, offering both low-level SQLite features and high-level abstractions for seamless integration into Swift projects. GRDB's primary focus is on enhancing application development by streamlining database interactions and optimizing performance. One of the key features of GRDB is its support for Swift concurrency, allowing developers to leverage async/await syntax for efficient and readable asynchronous database operations. This modern approach to concurrency ensures that database tasks are handled smoothly without blocking the main thread, resulting in responsive and performant applications. Additionally, GRDB offers robust type-safe database access, enabling developers to work with Swift types directly, reducing the risk of runtime errors and improving code maintainability. GRDB's query interface is both powerful and intuitive, allowing developers to construct complex SQL queries using a fluent Swift API. This approach eliminates the need for raw SQL strings in most cases, reducing the likelihood of syntax errors and making code more readable and maintainable. The library also provides support for full-text search, enabling developers to implement advanced search functionality within their applications with minimal effort. Another notable feature of GRDB is its support for database migrations, which simplifies the process of evolving database schemas over time. This is particularly useful for applications that require frequent updates or have complex data models that may change as the application evolves. GRDB's migration system ensures that database schemas remain consistent across different versions of an application, reducing the risk of data corruption or compatibility issues. GRDB also offers robust support for database observations, allowing developers to react to changes in the database in real-time. This feature is particularly useful for building responsive user interfaces that need to reflect the latest data without manual refreshing. The library provides various observation methods, including record observations, row observations, and request observations, giving developers flexibility in how they monitor and respond to database changes. For developers working with Core Data, GRDB offers a smooth transition path with its GRDBCombine and GRDBQuery libraries. These extensions provide Core Data-like features, such as fetched results controllers and SwiftUI integration, making it easier for teams familiar with Core Data to adopt GRDB in their projects. This compatibility layer helps reduce the learning curve and allows developers to leverage their existing knowledge while benefiting from GRDB's performance and flexibility. GRDB's commitment to performance is evident in its support for database pools, which enable efficient concurrent access to the database. This feature is particularly beneficial for applications that handle high volumes of read and write operations, ensuring optimal performance even under heavy loads. The library also provides tools for fine-tuning database performance, such as custom SQL functions, collations, and the ability to create and manage database indexes programmatically. Security is a top priority in GRDB, with built-in protection against SQL injection attacks and support for encrypted databases. The library encourages the use of parameterized queries and provides convenient methods for securely handling user input, reducing the risk of malicious SQL injection attempts. Furthermore, GRDB's support for encrypted databases ensures that sensitive data remains protected, making it an excellent choice for applications that handle confidential information.

GRDB Key Features

  • GRDB (Groonga Database) is a powerful SQLite toolkit for Swift applications, providing a robust set of tools for working with databases in iOS, macOS, and other Apple platforms.
  • It offers a type-safe, Swift-friendly API that allows developers to interact with SQLite databases using Swift's native data types and structures, reducing the risk of runtime errors and improving code readability.
  • GRDB supports both raw SQL queries and a query interface, giving developers the flexibility to choose the most appropriate method for their specific needs.
  • The library provides automatic database migrations, making it easier to manage schema changes and updates as your application evolves over time.
  • GRDB includes support for full-text search, allowing developers to implement powerful search functionality within their applications using SQLite's FTS3, FTS4, and FTS5 modules.
  • It offers efficient batch updates and inserts, optimizing performance for large-scale database operations.
  • The library provides support for database observation, allowing developers to react to changes in the database in real-time, which is particularly useful for keeping user interfaces up-to-date.
  • GRDB includes built-in support for database encryption using SQLCipher, ensuring that sensitive data can be securely stored on the device.
  • It offers a robust concurrency model, supporting both synchronous and asynchronous database access, and providing tools for managing database connections across multiple threads.
  • The library includes support for custom SQLite collations and functions, allowing developers to extend SQLite's functionality to meet specific application requirements.
  • GRDB provides a powerful Record protocol, which simplifies the process of mapping database rows to Swift objects and vice versa.
  • It offers support for database associations, making it easier to work with related data and perform complex queries across multiple tables.
  • The library includes comprehensive documentation and a wide range of code samples, making it easier for developers to get started and learn best practices for working with GRDB.
  • GRDB supports both Swift Package Manager and CocoaPods, providing flexible integration options for different project setups.
  • It offers support for reactive programming paradigms through GRDB extensions, allowing developers to integrate GRDB with popular reactive frameworks like RxSwift and Combine.
  • The library provides robust error handling mechanisms, making it easier to diagnose and handle database-related issues in your application.
  • GRDB includes support for database pools, allowing efficient management of multiple database connections for improved performance in multi-threaded environments.
  • It offers a powerful query interface that supports complex joins, subqueries, and aggregations, enabling developers to write sophisticated database queries using Swift syntax.
  • The library provides support for custom SQL functions and aggregates, allowing developers to extend SQLite's functionality with their own Swift-defined functions.
  • GRDB includes built-in support for database triggers, making it easier to implement complex business logic and maintain data integrity within the database itself.

GRDB Use Cases

  • GRDB (Groovy Database) is a powerful Swift library for SQLite databases, offering several use cases that make it an excellent choice for iOS and macOS developers. One common use case is building a local cache for an app's data, allowing for faster access and offline functionality. Developers can utilize GRDB to create a robust local database that stores user preferences, recent searches, or frequently accessed content, improving the overall user experience by reducing network requests and providing instant access to important information.
  • Another use case for GRDB is implementing a robust data persistence layer in mobile applications. The library's support for SQLite databases makes it ideal for storing and managing large amounts of structured data, such as user-generated content, chat messages, or complex relational data. GRDB's powerful querying capabilities and support for migrations allow developers to create scalable and maintainable database schemas that can evolve with the application's needs over time.
  • GRDB can also be used to implement efficient search functionality within an app. By leveraging SQLite's full-text search capabilities, developers can create fast and accurate search features that allow users to quickly find relevant information within large datasets. This is particularly useful for apps that deal with extensive catalogs, document libraries, or content management systems, where users need to locate specific items or information quickly.
  • Synchronization between local and remote databases is another valuable use case for GRDB. The library's support for transactions and batch updates makes it well-suited for implementing efficient data syncing mechanisms. Developers can use GRDB to manage local copies of remote data, track changes, and synchronize updates between the device and a server, ensuring that users always have access to the most up-to-date information while minimizing network usage and handling offline scenarios gracefully.
  • GRDB is also an excellent choice for implementing caching mechanisms in apps that rely heavily on API data. By storing API responses locally using GRDB, developers can reduce the number of network requests, improve app performance, and provide a smoother user experience. The library's support for complex queries and relationships allows for efficient data retrieval and updates, making it easy to implement sophisticated caching strategies that balance data freshness with performance considerations.
  • Another use case for GRDB is in the development of data-intensive apps that require complex data modeling and relationships. The library's support for associations, joins, and advanced querying techniques allows developers to create and manage intricate data structures efficiently. This is particularly useful for applications in fields such as finance, healthcare, or scientific research, where complex data relationships and analysis are essential.
  • GRDB can be utilized to implement robust logging and analytics systems within apps. By leveraging the library's fast write capabilities and support for concurrent access, developers can create efficient logging mechanisms that capture user actions, app events, and performance metrics. This data can then be analyzed to gain insights into user behavior, identify areas for improvement, and track key performance indicators.
  • Lastly, GRDB is well-suited for building offline-first applications that prioritize local data storage and synchronization. By using GRDB as the primary data store, developers can create apps that function seamlessly without an internet connection, syncing data with remote servers when a connection becomes available. This approach is particularly valuable for apps designed for use in areas with unreliable network connectivity or for users who frequently work in offline environments.

Alternatives to GRDB

  • Core Data is a powerful framework provided by Apple for managing and persisting data in iOS and macOS applications. It offers a robust object-graph management system and seamless integration with the Swift programming language. Core Data provides features such as lazy loading, efficient memory management, and automatic data synchronization across multiple views. It also supports versioning and migration of data models, making it easier to handle changes in the app's data structure over time.
  • SQLite is a lightweight, serverless, and self-contained relational database engine that is widely used in mobile and desktop applications. It offers a simple and efficient way to store and retrieve structured data. SQLite is known for its reliability, speed, and small footprint, making it an excellent choice for embedded systems and mobile devices. It supports SQL queries and transactions, allowing developers to perform complex data operations with ease.
  • Realm is a modern database solution designed specifically for mobile applications. It offers a simple and intuitive API that makes it easy to work with persistent data in iOS and Android apps. Realm provides features such as real-time synchronization, encryption, and reactive architecture, making it suitable for building offline-first and collaborative applications. It also offers excellent performance and low memory footprint, making it a popular choice among mobile developers.
  • Firebase Realtime Database is a cloud-hosted NoSQL database that allows developers to store and sync data in real-time. It provides a flexible and scalable solution for building real-time applications, such as chat apps, collaborative tools, and live analytics dashboards. Firebase offers features like offline persistence, automatic synchronization, and security rules, making it easier to build robust and secure applications. It also integrates well with other Firebase services, providing a comprehensive platform for mobile and web development.
  • CoreStore is a powerful and elegant library for Core Data in Swift. It simplifies the process of setting up and managing Core Data stacks, providing a higher level of abstraction and type-safety. CoreStore offers features such as reactive programming support, efficient batch updates, and thread-safe operations. It also provides convenient methods for querying and manipulating data, making it easier to work with complex data models and relationships.
  • Objective-C and Swift Database (FMDB) is a popular wrapper around SQLite for iOS and macOS applications. It provides an easy-to-use Objective-C API for working with SQLite databases, making it a great choice for developers who prefer a more familiar and object-oriented approach. FMDB offers features such as thread-safety, prepared statements, and support for transactions. It also provides a simple migration mechanism for handling database schema changes.
  • YapDatabase is a key-value store built on top of SQLite, designed specifically for iOS and macOS applications. It offers a high-performance solution for storing and retrieving data, with support for collections, indexes, and full-text search. YapDatabase provides features such as cross-process data sharing, fine-grained notifications, and support for custom serialization. It is particularly well-suited for applications that need to handle large amounts of data efficiently.
  • MagicalRecord is a powerful wrapper around Core Data that simplifies common database operations and reduces boilerplate code. It provides a clean and intuitive API for performing CRUD operations, handling migrations, and managing multiple contexts. MagicalRecord offers features such as batch import/export, automatic threading, and convenient methods for fetching and filtering data. It is particularly useful for developers who want to leverage the power of Core Data with less complexity.
  • Couchbase Lite is an embedded NoSQL database designed for mobile and edge devices. It offers features such as full-text search, live queries, and multi-version concurrency control. Couchbase Lite provides support for offline-first applications and seamless synchronization with Couchbase Server, making it suitable for building distributed and collaborative applications. It also offers encryption and fine-grained access control, ensuring data security on mobile devices.
  • Dflat is a lightweight and efficient key-value database for iOS, built on top of SQLite. It offers a simple and intuitive API for storing and retrieving data, with support for complex queries and indexing. Dflat provides features such as automatic schema migration, full-text search, and support for custom types. It is designed to be fast and memory-efficient, making it suitable for applications that need to handle large amounts of structured data on mobile devices.

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