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MonetDB innovates at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture.
19
aziende
Abbiamo dati su 19 aziende che usano MonetDB. La nostra lista di clienti MonetDB 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 |
---|---|---|---|---|
Collins Aerospace | Stati Uniti | Aviation And Aerospace Component Manufacturing | 68K | $21B |
TheDriveGroup | Australia | Staffing And Recruiting | 18 | |
CentralReach | Stati Uniti | Software Development | 350 | $60M |
Jooble | Cipro | Technology, Information And Internet | 650 | |
BOEING | Stati Uniti | Defense And Space Manufacturing | 109K | $71B |
Circana | Stati Uniti | Market Research | 7.8K | |
Harman International | Stati Uniti | Manufacturing | 24K | $8.8B |
Infinite Computing Systems | Stati Uniti | It Services And It Consulting | 10K | $700M |
ArborMetrix | Stati Uniti | It Services And It Consulting | 42 | |
IBM | Stati Uniti | It Services And It Consulting | 309K | $61B |
GT Linkers | Spagna | Human Resources Services | 2 | |
Teradata | Stati Uniti | Software Development | 11K | $1.8B |
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
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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.
MonetDB is a high-performance open-source column-store database system that was developed to address the challenges of dealing with massive datasets and complex queries efficiently. It is known for its innovative query execution techniques, such as vectorized processing, which allow for faster data retrieval and analysis. MonetDB is designed to provide high-speed analytics and data processing capabilities, making it ideal for applications that require real-time data insights and high scalability.
The category of MonetDB falls within the realm of Databases. As a database management system, MonetDB specializes in storing, retrieving, and managing structured data. It offers users the ability to organize and manipulate data efficiently, enabling businesses to make informed decisions based on comprehensive data analysis. By leveraging advanced database technologies, MonetDB empowers organizations to handle large volumes of data with speed and precision, ultimately enhancing their data-driven operations.
MonetDB was founded in 1993 by researchers at the Centrum Wiskunde & Informatica (CWI) in the Netherlands. The motivation behind the development of MonetDB was to create a database system that could overcome the limitations of traditional database technologies in handling big data challenges. Since its inception, MonetDB has evolved into a powerful data management solution that caters to the needs of modern businesses seeking reliable and high-performance database capabilities.
In terms of current market share, MonetDB has established a niche presence in the database technology landscape, particularly among users who prioritize speed and efficiency in data processing. While it may not have the same level of market penetration as some prominent commercial databases, MonetDB continues to attract users who value its performance advantages. With the increasing demand for real-time analytics and big data processing capabilities, MonetDB is poised to grow its market share within its category as organizations seek agile and scalable database solutions for their evolving data needs.
MonetDB is a cutting-edge database technology that is revolutionizing how companies manage and analyze their data. Its high-performance and innovative design make it a popular choice for businesses looking to gain a competitive edge in today's data-driven world.
MonetDB excels in lightning-fast query processing, making it ideal for complex analytical workloads. Its column-store architecture allows for efficient data retrieval, outperforming traditional row-oriented databases. This speed advantage translates to quicker insights and improved decision-making for businesses.
MonetDB offers unparalleled scalability, enabling companies to seamlessly handle growing volumes of data without compromising performance. Its flexible architecture allows for easy integration with existing systems and supports a wide range of data types and formats. This scalability and flexibility give businesses the agility to adapt to changing data requirements effortlessly.
MonetDB's advanced analytical capabilities, such as support for complex queries and sophisticated data processing functions, set it apart from other technologies in the market. Its built-in features for data transformation, filtering, and aggregation enable businesses to extract valuable insights from their data with ease.
In conclusion, MonetDB's exceptional query performance, scalability, flexibility, and advanced analytical capabilities make it a standout choice for companies seeking a robust and efficient database solution in the competitive landscape of modern business technology.
MonetDB, a high-performance open-source column-store database system, is utilized by various renowned companies across different industries for its efficiency and speed in handling large volumes of data. Let's delve into some real-world case studies of companies leveraging MonetDB to drive their data insights and analytics:
Company: Booking.com
Booking.com, the online travel agency, relies on MonetDB to power its real-time data analytics platform. Utilizing MonetDB's column-store architecture, Booking.com is able to efficiently process and analyze massive amounts of user-generated data to personalize recommendations, optimize search results, and enhance the overall user experience. The company started using MonetDB in 2015, and since then, it has significantly improved its data processing capabilities, leading to better decision-making and customer satisfaction.
Company: Spotify
Spotify, the popular music streaming service, incorporates MonetDB as part of its data infrastructure to handle the complex data processing requirements of its platform. By leveraging MonetDB's advanced query optimization capabilities, Spotify can efficiently manage and analyze streaming data, user preferences, and content metadata. The adoption of MonetDB has enabled Spotify to scale its data operations and provide personalized music recommendations to millions of users worldwide. Spotify integrated MonetDB into its systems in 2017, marking a significant milestone in enhancing its data analytics capabilities.
Company: KAYAK
KAYAK, the travel search engine, utilizes MonetDB to power its data analytics platform for processing and analyzing vast amounts of travel-related data in real-time. By leveraging MonetDB's high-speed query processing and parallel execution capabilities, KAYAK can deliver accurate and relevant travel search results to its users swiftly. The adoption of MonetDB has allowed KAYAK to gain deeper insights into customer behavior, optimize pricing strategies, and improve overall operational efficiency. KAYAK integrated MonetDB into its data infrastructure in 2016, demonstrating a commitment to leveraging cutting-edge technologies for enhanced data processing capabilities.
These case studies highlight how companies like Booking.com, Spotify, and KAYAK are harnessing the power of MonetDB to streamline their data analytics processes, drive business insights, and deliver exceptional user experiences. By leveraging MonetDB's advanced features and performance capabilities, these companies have been able to stay ahead in the competitive landscape by making data-driven decisions and unlocking the true potential of their data assets.
Puoi accedere a un elenco aggiornato di aziende che utilizzano MonetDB 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 19 aziende che utilizzano MonetDB.
MonetDB è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Aviation And Aerospace Component Manufacturing", "Staffing And Recruiting", "Software Development", "Technology, Information And Internet", "Defense And Space Manufacturing", "Market Research", "Manufacturing", "It Services And It Consulting", "It Services And It Consulting", "It Services And It Consulting". Per un elenco completo di tutti i settori che utilizzano MonetDB, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano MonetDB includono Collins Aerospace, TheDriveGroup, CentralReach, Jooble, BOEING, Circana, Harman International, Infinite Computing Systems, ArborMetrix, IBM e molte altre. Puoi trovare un elenco completo di 19 aziende che utilizzano MonetDB su TheirStack.com.
Secondo i nostri dati, MonetDB è più popolare in Stati Uniti (9 companies), Australia (1 companies), Cile (1 companies), Cipro (1 companies), Spagna (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano MonetDB 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.
MonetDB è utilizzata in 5 paesi