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What is Realm?

Realm is a cutting-edge, mobile-focused open-source object database designed to function flawlessly on smartphones, tablets, and wearable technology. By utilizing a simple, object-oriented data structure, it removes the need for an Object-Relational Mapping (ORM) layer, thus allowing developers to build models with standard classes in widely used programming languages such as Swift, Java, Kotlin, C#, JavaScript, Dart, and C++. Its architecture is optimized for high performance and low memory usage through methods like zero-copy design, lazy loading, and multi-version concurrency control (MVCC), which guarantees safe operations across multiple threads. Furthermore, Realm's live objects and collections automatically synchronize between threads, laying the groundwork for reactive programming practices. It also supports the creation of complex data structures by permitting relationships between objects via links and backlinks. In addition, developers can utilize tools like Realm Studio to explore and adjust local Realm databases, which enhances integration with various platforms, including React Native, Flutter, Xamarin, and Node.js. This flexibility and efficiency make Realm an attractive option for developers aiming to manage data effectively in their mobile applications, ultimately fostering a more seamless app development experience. As a result, Realm stands out in the realm of mobile database solutions.

What is Captur?

Captur is a cutting-edge computer-vision SDK designed to enable real-time photo validation in mobile apps. By leveraging on-device models, it evaluates images as they are captured, notifying users of potential problems such as blurriness, inadequate lighting, or facial presence, and ensuring compliance with specific criteria prior to upload. This versatile SDK works seamlessly on both iOS and Android systems and can be integrated into projects that utilize Swift, Kotlin, React Native, and Flutter frameworks. Developers can define image requirements using simple business language, allowing Captur to aid users in submitting high-quality evidence for various tasks, including proof of delivery, monitoring micromobility parking, vehicle inspections, and ensuring helmet compliance. The image analysis process occurs offline on the user's device, while the management of policies and model updates can be conducted independently. Moreover, applications can review or modify the results produced by the model, providing flexibility. By focusing on empowering product and operations teams, Captur enhances the development of mobile applications reliant on trustworthy user-generated images, which significantly improves the quality and reliability of submissions. This comprehensive approach not only simplifies the validation process but also enriches the user experience by minimizing the likelihood of erroneous submissions, ultimately fostering greater user satisfaction and trust in the application.

Media

Media

No images available

Integrations Supported

C#
C++
Dart
Java
JavaScript
Kotlin
Node.js
Objective-C
React Native
Swift
Xamarin

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing is consumption-based and is sized to expected volume and use case. New customers can start with a paid pilot.

Supported Platforms

SaaS

Supported Platforms

Android
iPhone
iPad

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Realm DB

Date Founded

2011

Company Location

United States

Company Website

realm.github.io

Company Facts

Organization Name

Captur

Company Location

United Kingdom

Company Website

captur.ai/

Categories and Features

Categories and Features

Computer Vision

Not specified

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