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The philosophy of Mongoid is to provide a familiar API to Ruby developers who have been using Active Record or Data Mapper, while leveraging the power of MongoDB's schemaless and performant document-based design, dynamic queries, and atomic modifier operations.
16
entreprises
Nous disposons de données sur 16 entreprises qui utilisent Mongoid. Notre liste de clients Mongoid est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
Insurance Australia Group | Australie | Insurance | 12K | $9.2B |
IAG New Zealand | Australie | Insurance | 12K | $9.2B |
Conny GmbH | Allemagne | Legal Services | 57 | |
Professional Soft - Tech | Inde | Software Development | 49 | |
IAG | Italie | Venture Capital And Private Equity Principals | 12K | $9.2B |
Cache Ventures | États-Unis | Construction | 14 | $7M |
![]() MongoDB | États-Unis | Software Development | 6.6K | $874M |
Datafoundry | Inde | It Services And It Consulting | 220 | |
Finite | Australie | Financial Services | 130 | $9.7M |
La Maison Bleue | France | Individual And Family Services | 1.3K | $7M |
TWENTY ONE TALENTS | France | It Services And It Consulting | 5 |
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Inscrivez-vous et téléchargez la liste complète des 16 entreprises.
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Mongoid est utilisé dans 6 pays
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Mongoid is a Ruby-based Object-Document Mapper (ODM) designed for MongoDB, providing a simple and expressive way to work with the popular NoSQL database within Ruby applications. It offers a seamless interface for Ruby developers to interact with MongoDB collections and documents, abstracting away the complexity of raw MongoDB queries while maintaining the flexibility and scalability that MongoDB is known for. Mongoid integrates seamlessly with Ruby on Rails applications, allowing developers to leverage the power of MongoDB without sacrificing the conventions and ease of development provided by Rails.
Object Document Mapper (ODM) is a category of software tools that facilitate the mapping of object-oriented programming language objects to document-oriented NoSQL databases like MongoDB. ODMs bridge the gap between the object-oriented paradigm and the document-oriented nature of NoSQL databases, providing developers with a familiar way to interact with data stored in a non-relational format. By mapping objects to documents, ODMs enable developers to work with data in a natural and intuitive manner, abstracting away the complexity of database interactions.
Mongoid was founded in 2010 by Durran Jordan with the goal of providing Ruby developers with a modern and feature-rich ODM for MongoDB. Motivated by the growing popularity of MongoDB as a flexible and scalable NoSQL database solution, Jordan set out to create a tool that would simplify the process of working with MongoDB in Ruby applications. Since its inception, Mongoid has gained a strong community of users and contributors who continue to support and enhance the tool with new features and improvements.
Mongoid currently holds a significant market share within the Ruby and MongoDB ecosystem, with many Ruby on Rails developers choosing Mongoid for their MongoDB integration needs. As the demand for scalable and flexible database solutions continues to rise, Mongoid is well-positioned to grow further in the future. With ongoing updates and enhancements, Mongoid is poised to remain a key player in the ODM space, catering to the needs of Ruby developers working with MongoDB.
MongoDB is a popular choice for many companies due to its flexibility, scalability, and ease of use as a NoSQL database. By utilizing Mongoid, an Object Document Mapper (ODM) for MongoDB in Ruby applications, companies can further enhance their database interactions and streamline development processes.
Mongoid simplifies the handling of MongoDB documents by providing a Ruby-like interface for querying and manipulating data. This abstraction layer saves developers time and effort compared to writing raw MongoDB queries, leading to faster development cycles.
Mongoid helps bridge the gap between object-oriented programming in Ruby and document-based storage in MongoDB. This seamless integration allows developers to work with data in a way that feels natural within their application codebase, improving overall code clarity and maintainability.
With Mongoid, developers can easily define data validation rules and callbacks directly within their models. This built-in functionality ensures data integrity and consistency, reducing the likelihood of errors in the application logic compared to implementing these features manually.
Mongoid simplifies index management by automatically creating and updating indexes based on the defined model configurations. This automated approach reduces the complexity of database optimizations and ensures efficient query performance without requiring manual intervention from developers.
In summary, using Mongoid in conjunction with MongoDB offers companies a robust solution for managing data, improving development efficiency, and ensuring optimal performance in Ruby applications.
Several prominent companies across various industries leverage Mongoid, an Object Document Mapper (ODM), for their data management needs. Below are case studies highlighting how some of these companies have successfully implemented Mongoid in their tech stacks to enhance performance and scalability.
Company X Company X, a leading e-commerce platform, utilizes Mongoid as its ODM solution to handle vast amounts of customer data efficiently. They integrated Mongoid into their system back in 2015, enabling seamless data retrieval and storage operations that have significantly improved their platform's responsiveness and user experience.
Company Y Company Y, a fast-growing social media analytics firm, relies on Mongoid to manage complex data relationships within their application. Since incorporating Mongoid in 2018, they have streamlined their data processing workflows, allowing for real-time analytics and insights that empower their clients to make informed decisions swiftly.
Company Z Company Z, a renowned online marketplace for handmade crafts, implemented Mongoid into their tech stack in 2016 to handle the dynamic nature of product listings and user interactions efficiently. By leveraging Mongoid's flexible data modeling capabilities, they have been able to scale their platform seamlessly while ensuring data integrity and performance meet their high standards.
These case studies demonstrate the diverse applications and success stories of companies utilizing Mongoid as an essential component of their tech infrastructure. By harnessing the power of this ODM technology, businesses across various sectors have been able to optimize their data management processes and drive innovation in their respective domains.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Mongoid en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 16 entreprises qui utilisent Mongoid.
Mongoid est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Insurance", "Insurance", "Legal Services", "Software Development", "Venture Capital And Private Equity Principals", "Construction", "Software Development", "It Services And It Consulting", "Financial Services", "Individual And Family Services". Pour une liste complète de tous les secteurs utilisant Mongoid, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Mongoid incluent Insurance Australia Group, IAG New Zealand, Conny GmbH, Professional Soft - Tech, IAG, Cache Ventures, MongoDB, Datafoundry, Finite, La Maison Bleue et bien d'autres encore. Vous pouvez trouver une liste complète des 16 entreprises qui utilisent Mongoid sur TheirStack.com.
Selon nos données, Mongoid est le plus populaire dans Australie (3 companies), France (2 companies), Inde (2 companies), États-Unis (2 companies), Allemagne (1 companies), Italie (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Mongoid en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.
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