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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
Unternehmen
Wir haben Daten zu 16 Unternehmen, die Mongoid verwenden. Unsere Mongoid Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Insurance Australia Group | Australien | Insurance | 12K | $9.2B |
IAG New Zealand | Australien | Insurance | 12K | $9.2B |
Conny GmbH | Deutschland | Legal Services | 57 | |
Professional Soft - Tech | Indien | Software Development | 49 | |
IAG | Italien | Venture Capital And Private Equity Principals | 12K | $9.2B |
Cache Ventures | Vereinigte Staaten | Construction | 14 | $7M |
![]() MongoDB | Vereinigte Staaten | Software Development | 6.6K | $874M |
Datafoundry | Indien | It Services And It Consulting | 220 | |
Finite | Australien | Financial Services | 130 | $9.7M |
La Maison Bleue | Frankreich | Individual And Family Services | 1.3K | $7M |
TWENTY ONE TALENTS | Frankreich | It Services And It Consulting | 5 |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Mongoid wird in 6 Ländern verwendet
Es gibt 1 Alternativen zu Mongoid
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
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.
Sie können eine aktuelle Liste von Unternehmen, die Mongoid verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 16 Unternehmen, die Mongoid verwenden.
Mongoid wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "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", verwendet. Für eine umfassende Liste aller Branchen, die Mongoid nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Mongoid verwenden, umfassen Insurance Australia Group, IAG New Zealand, Conny GmbH, Professional Soft - Tech, IAG, Cache Ventures, MongoDB, Datafoundry, Finite, La Maison Bleue und viele mehr. Sie können eine vollständige Liste von 16 Unternehmen, die Mongoid nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Mongoid am beliebtesten in Australien (3 companies), Frankreich (2 companies), Indien (2 companies), Vereinigte Staaten (2 companies), Deutschland (1 companies), Italien (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Mongoid verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.