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FerretDB is an open-source MongoDB alternative. It enables you to ditch the SSPL license and go open source, while still benefiting from the ease and flexibility of a document database.
249
aziende
Abbiamo dati su 249 aziende che usano MangoDB. La nostra lista di clienti MangoDB è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Kosmos Digital | Costa Rica | It Services And It Consulting | 1 | |
UiPath | Stati Uniti | Software Development | 4.9K | $1.1B |
Bybdigital | India | It Services And It Consulting | 2 | |
Vegavid Technology | India | It Services And It Consulting | 32 | |
Jean Rouyer Automobiles | Francia | Retail | 1K | |
Correct Choice | Regno Unito | Wholesale Building Materials | 4 | |
HelloFresh | Germania | Consumer Services | 15K | |
Amazon Web Services, Inc. | Stati Uniti | It Services And It Consulting | 1.5M | $3M |
Ericsson | Svezia | Telecommunications | 113K | $27B |
CGI | Canada | It Services And It Consulting | 89K | $9.5B |
Dice | Stati Uniti | Software Development | 736 | $12M |
Visa | Stati Uniti | It Services And It Consulting | 26K | $31B |
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MangoDB è utilizzata in 21 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
MongoDB is a popular NoSQL database technology that provides a flexible and scalable approach to managing and querying data. It is known for its document-oriented storage, which allows for the storage of data in flexible, JSON-like documents. MongoDB is designed to handle unstructured data and is particularly well-suited for use cases where traditional relational databases may not be the best fit, such as content management systems, real-time analytics, and mobile applications.
In the category of Databases, MongoDB stands out for its approach to data storage and retrieval. Unlike traditional relational databases that use tables and rows, MongoDB stores data in collections of JSON-like documents, providing more flexibility and speed in managing data. This document-oriented storage model allows for easier integration with certain types of applications that deal with semi-structured or unstructured data.
MongoDB was founded in 2007 by Eliot Horowitz, Dwight Merriman, and Kevin P. Ryan. The motivation behind creating MongoDB was to address the limitations of traditional relational databases in handling modern, complex data use cases. The founders aimed to provide a database solution that could scale easily, handle diverse data types efficiently, and offer greater flexibility in data modeling.
As of the current market share, MongoDB has established a strong presence in the database market, particularly among developers and organizations looking for a flexible and scalable database solution. With the rise of big data, IoT, and cloud computing, MongoDB's popularity is expected to grow further. Its ability to handle diverse data types, scale horizontally, and provide strong community support positions MongoDB for continued growth in the future.
MongoDB is a popular choice for companies looking for a robust database solution that offers flexibility, scalability, and ease of use. With its document-oriented NoSQL architecture, MongoDB has gained traction among businesses seeking to handle large amounts of unstructured data efficiently.
MongoDB's horizontal scaling capabilities make it ideal for companies experiencing rapid data growth. Unlike traditional relational databases that require complex sharding configurations, MongoDB allows for seamless scalability with automatic data distribution across multiple nodes. This results in improved performance and reliability as the system expands, making MongoDB a superior choice for companies anticipating future growth.
One of MongoDB's key advantages is its flexible data model, which enables developers to store data in a way that aligns closely with their application's needs. Unlike rigid table-based structures in SQL databases, MongoDB's document format allows for dynamic schema changes without impacting performance. This flexibility makes development faster and more agile compared to traditional databases, where schema modifications can be cumbersome and time-consuming.
MongoDB's optimized query execution, indexing capabilities, and sharding support contribute to its high performance in handling large volumes of data. By distributing data across multiple nodes and enabling parallel processing, MongoDB outperforms many other databases in speed and efficiency. This makes it an excellent choice for applications requiring real-time analytics, high-speed transactions, and low-latency queries.
MongoDB benefits from a thriving community of developers, constantly contributing to its ecosystem with new features, resources, and best practices. This extensive support network ensures that companies using MongoDB have access to a wealth of knowledge and expertise, making it easier to troubleshoot issues, optimize performance, and stay up to date with the latest developments in database technology.
In conclusion, MongoDB's scalability, flexibility, performance, and community support set it apart as a top choice for companies seeking a modern, high-performing database solution. Whether handling large datasets, adapting to evolving application requirements, or optimizing query speed, MongoDB offers a reliable and efficient option for businesses looking to leverage cutting-edge technology in their data management strategies.
Some prominent companies in the tech industry rely on MongoDB for their database needs. Let's explore a few case studies showcasing how these companies leverage MongoDB for their operations:
1. Adobe Systems
Adobe Systems is a well-known global software company that has been utilizing MongoDB for its data management requirements. Adobe uses MongoDB to store and manage large volumes of customer data efficiently. They started utilizing MongoDB as part of their tech stack in 2015, primarily for its scalability and flexibility in handling varied data types. By leveraging MongoDB, Adobe has improved its data processing capabilities and enhanced the overall performance of its applications.
2. Lyft
Lyft, a leading ride-sharing company, relies on MongoDB for its database infrastructure. Lyft utilizes MongoDB to manage real-time data coming from its vast network of drivers and riders. The company adopted MongoDB in 2016 to streamline its data storage process and enable faster data retrieval for actionable insights. MongoDB's robust querying capabilities and horizontal scalability have played a crucial role in supporting Lyft's exponential growth and enhancing the efficiency of its operations.
3. UPS (United Parcel Service)
UPS, a global logistics and package delivery company, has integrated MongoDB into its tech stack to enhance its data management capabilities. UPS adopted MongoDB in 2017 to efficiently handle the massive volume of shipping and logistics data generated daily. MongoDB's document-based model and distributed architecture have enabled UPS to seamlessly store, retrieve, and analyze complex data sets in real-time. By leveraging MongoDB, UPS has optimized its data processing workflows and improved the accuracy and speed of its logistical operations.
These case studies offer a glimpse into how top-tier companies like Adobe Systems, Lyft, and UPS leverage MongoDB to address their diverse database needs effectively in the dynamic landscape of modern business operations.
Puoi accedere a un elenco aggiornato di aziende che utilizzano MangoDB visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 249 aziende che utilizzano MangoDB.
MangoDB è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "Retail", "Wholesale Building Materials", "Consumer Services", "It Services And It Consulting", "Telecommunications", "It Services And It Consulting". Per un elenco completo di tutti i settori che utilizzano MangoDB, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano MangoDB includono Kosmos Digital, UiPath, Bybdigital, Vegavid Technology, Jean Rouyer Automobiles, Correct Choice, HelloFresh, Amazon Web Services, Inc., Ericsson, CGI e molte altre. Puoi trovare un elenco completo di 249 aziende che utilizzano MangoDB su TheirStack.com.
Secondo i nostri dati, MangoDB è più popolare in Stati Uniti (61 companies), Francia (39 companies), India (13 companies), Canada (4 companies), Malaysia (4 companies), Singapore (4 companies), Regno Unito (4 companies), Germania (3 companies), Paesi Bassi (3 companies), Bahrein (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano MangoDB cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.