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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
companies
We have data on 16 companies that use Mongoid. Our Mongoid customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
Insurance Australia Group | Australia | Insurance | 12K | $9.2B |
IAG New Zealand | Australia | Insurance | 12K | $9.2B |
Conny GmbH | Germany | Legal Services | 57 | |
Professional Soft - Tech | India | Software Development | 49 | |
IAG | Italy | Venture Capital And Private Equity Principals | 12K | $9.2B |
Cache Ventures | United States | Construction | 14 | $7M |
![]() MongoDB | United States | Software Development | 6.6K | $874M |
Datafoundry | India | It Services And It Consulting | 220 | |
Finite | Australia | 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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Technoloy Usage Stadistics and Market Share
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
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.
You can access an updated list of companies using Mongoid by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 16 companies that use Mongoid.
Mongoid is used by a diverse range of organizations across various industries, including "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". For a comprehensive list of all industries utilizing Mongoid, please visit TheirStack.com.
Some of the companies that use Mongoid include Insurance Australia Group, IAG New Zealand, Conny GmbH, Professional Soft - Tech, IAG, Cache Ventures, MongoDB, Datafoundry, Finite, La Maison Bleue and many more. You can find a complete list of 16 companies that use Mongoid on TheirStack.com.
Based on our data, Mongoid is most popular in Australia (3 companies), France (2 companies), India (2 companies), United States (2 companies), Germany (1 companies), Italy (1 companies). However, it is used by companies all over the world.
You can find companies using Mongoid by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.
Mongoid is used in 6 countries
There are 1 alternatives to Mongoid