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Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency.
653
entreprises
Nous disposons de données sur 653 entreprises qui utilisent Amazon Neptune. Notre liste de clients Amazon Neptune 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 |
---|---|---|---|---|
Fannie Mae | États-Unis | Financial Services | 13K | $29B |
![]() JupiterOne | États-Unis | It Services And It Consulting | 180 | $4.9M |
Zscaler | États-Unis | Computer And Network Security | 8.1K | $1.1B |
Passei Direto | Brésil | Education | 210 | $28M |
Moody's | États-Unis | Financial Services | 13K | $3.6B |
![]() Policy Expert | Royaume-Uni | Insurance | 344 | $296K |
Vertical Relevance | États-Unis | Financial Services | 79 | $2.4M |
ComplyAdvantage | Royaume-Uni | Software Development | 485 | $1.3M |
Viral Nation | Canada | Advertising Services | 502 | $11M |
Amazon.com | États-Unis | Retail | 10K | $50M |
Dice | États-Unis | Software Development | 736 | $12M |
CEDENT | Bermudes | It Services And It Consulting | 5 |
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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.
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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.
Amazon Neptune est utilisé dans 26 pays
Il y a 3 alternatives à Amazon Neptune
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.
Amazon Neptune is a powerful graph database service offered by Amazon Web Services (AWS) that allows users to build and run applications that work with highly connected datasets. As a fully managed service, Amazon Neptune eliminates the complexities of database management tasks, enabling developers to focus on implementing graph applications without worrying about infrastructure management.
Graph Database as a Service is a category that focuses on providing cloud-based solutions for managing graph databases. These databases are designed to handle complex relationships and interconnected data more efficiently than traditional relational databases. Amazon Neptune falls into this category by offering a scalable and reliable platform for storing and querying graph data, making it suitable for applications that require real-time graph insights.
Initially launched by AWS in 2017, Amazon Neptune was developed to address the growing demand for graph databases in various industries such as social networking, recommendation engines, fraud detection, and network analysis. The motivation behind creating Amazon Neptune was to provide a fully managed service that could support the graph modeling needs of modern applications, enabling developers to leverage the power of graph databases without the operational overhead.
In terms of current market share, Amazon Neptune has gained significant traction in the graph database market due to its integration with other AWS services, high performance, and ease of use. While the exact market share data may vary, industry analysis suggests that Amazon Neptune is positioned to grow in the future as more businesses adopt graph databases for data-intensive applications. The increasing demand for scalable and flexible graph solutions indicates a positive outlook for Amazon Neptune's market share in the coming years.
Amazon Neptune is a powerful Graph Database as a Service that is increasingly being adopted by companies for its numerous benefits in managing complex data relationships efficiently.
Amazon Neptune excels in handling interconnected data relationships, making it ideal for applications that require intricate data modeling. Unlike traditional relational databases, Neptune's graph database structure allows for the representation of complex relationships with ease, providing more flexibility and scalability.
With its purpose-built graph engine, Amazon Neptune ensures high performance for queries involving vast amounts of interconnected data. Compared to other similar technologies, Neptune offers optimized query processing for graph data, resulting in faster response times and increased overall performance.
Amazon Neptune is designed to scale effortlessly with growing data needs and demand. Its managed service nature enables automatic scaling capabilities, allowing companies to adjust resources as required without compromising performance. This scalability feature sets Neptune apart from other graph databases, offering unmatched flexibility in handling dynamic data environments.
Amazon Neptune seamlessly integrates with other AWS services, providing a cohesive ecosystem for data management and analysis. This seamless integration enhances workflow efficiency and simplifies data operations, making it a preferred choice for companies looking for a comprehensive and integrated solution to their data needs.
Amazon Neptune is a popular choice among companies looking for a reliable Graph Database as a Service solution. Several well-known companies across various industries rely on Amazon Neptune to manage their complex data relationships efficiently and effectively. Here are a few case studies showcasing how companies leverage Amazon Neptune to drive innovation and achieve their business goals:
Samsung Electronics, a global leader in consumer electronics, has been utilizing Amazon Neptune since 2018. The company employs Amazon Neptune to power its recommendation engine, which provides personalized product suggestions to customers based on their preferences and browsing history. By leveraging Neptune's graph database capabilities, Samsung Electronics has significantly improved the accuracy and relevance of its product recommendations, leading to increased customer satisfaction and higher conversion rates.
Ticketmaster, the world's leading ticketing platform, adopted Amazon Neptune in 2019 to enhance its event recommendation system. By using Neptune's graph database technology, Ticketmaster has been able to analyze vast amounts of data related to user preferences, historical ticket purchases, and event details to deliver tailored recommendations to users. The implementation of Amazon Neptune has enabled Ticketmaster to provide a more personalized and engaging experience for its customers, resulting in higher ticket sales and customer retention.
Zalando, Europe's largest online fashion platform, integrated Amazon Neptune into its data infrastructure in 2020. The company leverages Neptune's graph database capabilities to optimize its supply chain management processes by modeling complex relationships between products, suppliers, and inventory levels. By utilizing Neptune's real-time graph analysis features, Zalando has achieved greater supply chain visibility, improved inventory forecasting accuracy, and streamlined procurement operations. The adoption of Amazon Neptune has empowered Zalando to make data-driven decisions swiftly and efficiently, leading to enhanced operational efficiency and cost savings.
These case studies demonstrate the diverse applications of Amazon Neptune across industries, showcasing how companies leverage its graph database functionality to unlock valuable insights, improve decision-making processes, and drive business growth.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Amazon Neptune 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 653 entreprises qui utilisent Amazon Neptune.
Amazon Neptune est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Financial Services", "It Services And It Consulting", "Computer And Network Security", "Education", "Financial Services", "Insurance", "Financial Services", "Software Development", "Advertising Services", "Retail". Pour une liste complète de tous les secteurs utilisant Amazon Neptune, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Amazon Neptune incluent Fannie Mae, JupiterOne, Zscaler, Passei Direto, Moody's, Policy Expert, Vertical Relevance, ComplyAdvantage, Viral Nation, Amazon.com et bien d'autres encore. Vous pouvez trouver une liste complète des 653 entreprises qui utilisent Amazon Neptune sur TheirStack.com.
Selon nos données, Amazon Neptune est le plus populaire dans États-Unis (332 companies), Royaume-Uni (43 companies), France (17 companies), Inde (16 companies), Canada (14 companies), Allemagne (10 companies), Espagne (9 companies), Singapour (8 companies), Suisse (6 companies), Australie (5 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Amazon Neptune 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.