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Scale-out NoSQL for any workload Built on Apache Cassandra™, DataStax Enterprise adds NoSQL workloads including search, graph, and analytics, with operational reliability hardened by the largest internet apps and the Fortune 100.
41
entreprises
Nous disposons de données sur 41 entreprises qui utilisent DataStax Enterprise. Notre liste de clients DataStax Enterprise 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 |
---|---|---|---|---|
EY | Royaume-Uni | Professional Services | 357K | $45B |
FedEx Services | États-Unis | Truck Transportation | 246K | $94B |
Verizon | États-Unis | It Services And It Consulting | 93K | |
Penn Mutual Life Insurance | États-Unis | Insurance | 1.1K | $4.6B |
Phasorsoft LLC | États-Unis | It Services And It Consulting | 25 | |
Anant Corporation | États-Unis | It Services And It Consulting | 37 | $5.5M |
Bank of America | États-Unis | Banking | 208K | |
Lumen | États-Unis | Retail | 53K | $17B |
Westpac Group | Australie | Banking | 41K | $16B |
France | Financial Services | 96 | ||
Tata Consultancy Services | Inde | It Services And It Consulting | 596K | $27B |
Sopra Steria | France | It Services And It Consulting | 49K |
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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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DataStax Enterprise est utilisé dans 7 pays
Il y a 1 alternatives à DataStax Enterprise
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.
DataStax Enterprise is a powerful distributed database management system that is designed to handle large amounts of data while providing high availability and fault tolerance. It is built on Apache Cassandra, an open-source distributed database management system known for its scalability and performance. DataStax Enterprise extends the capabilities of Cassandra by adding additional features such as advanced security, analytics, and search functionalities, making it a comprehensive solution for organizations looking to leverage big data.
DataStax Enterprise falls under the category of Cassandra as a Service, where companies can access the benefits of Cassandra without the overhead of managing and maintaining their own infrastructure. This category enables organizations to focus on utilizing the database for their specific needs without worrying about the operational complexities that come with setting up and managing a distributed database system like Cassandra.
DataStax, the company behind DataStax Enterprise, was founded in 2010 by Jonathan Ellis and Matt Pfeil. The motivation behind the creation of DataStax Enterprise was to provide a robust, enterprise-grade solution for companies looking to harness the power of Cassandra for their data management needs. Over the years, DataStax has continuously evolved its product to cater to the growing demands of modern businesses that rely on data-driven insights for decision-making.
In terms of current market share, DataStax Enterprise holds a significant position within the Cassandra as a Service category. With the increasing adoption of distributed databases for handling large-scale data processing tasks, DataStax Enterprise is well-positioned to continue growing its market share in the future. The forecast indicates that as more companies embrace big data analytics and real-time applications, the demand for robust database management systems like DataStax Enterprise is set to rise, leading to a potential expansion of its market presence.
DataStax Enterprise is a leading choice for companies seeking robust and scalable solutions in the realm of Cassandra as a Service. With its advanced features and industry reputation, DataStax Enterprise offers a range of benefits that set it apart from other similar technologies.
DataStax Enterprise provides unparalleled scalability, allowing companies to seamlessly expand their operations without compromising performance. Unlike traditional database solutions that may struggle to scale effectively, DataStax Enterprise ensures that businesses can meet growing demands with ease.
One of the key advantages of DataStax Enterprise is its high availability and fault tolerance capabilities. By utilizing advanced replication strategies and data distribution techniques, DataStax Enterprise ensures that companies can maintain uninterrupted operations even in the face of hardware failures or network issues.
DataStax Enterprise prioritizes security, offering a wide range of features to protect sensitive data from unauthorized access. With robust encryption, authentication mechanisms, and auditing tools, DataStax Enterprise ensures that companies can maintain compliance with stringent data protection regulations.
DataStax Enterprise is designed to deliver exceptional performance, even under heavy workloads. By leveraging advanced caching mechanisms, query optimizations, and tuning capabilities, DataStax Enterprise enables companies to achieve lightning-fast data processing speeds and reduced latency.
DataStax Enterprise goes beyond basic database functionalities, offering integrated analytics capabilities that empower companies to derive valuable insights from their data. With built-in tools for data visualization, machine learning integration, and real-time analytics, DataStax Enterprise enables businesses to make informed decisions based on advanced data analysis.
Overall, DataStax Enterprise stands out as a comprehensive and reliable solution for companies looking to harness the power of Cassandra as a Service while enjoying a wide range of benefits and competitive advantages.
DataStax Enterprise is a powerful database platform built on Apache Cassandra, trusted by leading companies across various industries. Here are some real case studies showcasing how companies leverage DataStax Enterprise for their data management needs:
1. Netflix
Netflix, the world's largest streaming service, relies on DataStax Enterprise to manage its vast library of content metadata. By utilizing the distributed architecture of DataStax Enterprise, Netflix ensures high availability and scalability for handling peak loads during popular show releases and global viewership spikes. The platform enables Netflix to deliver personalized recommendations, optimize content delivery, and maintain a seamless streaming experience for millions of users worldwide. Netflix has been using DataStax Enterprise since 2011, highlighting its long-standing trust in the platform's capabilities.
2. eBay
eBay, a global e-commerce giant, leverages DataStax Enterprise to power its product catalog and inventory management systems. With DataStax Enterprise, eBay can efficiently store and retrieve product data, track inventory levels in real-time, and support dynamic pricing strategies. The platform's distributed nature allows eBay to ensure data consistency across multiple geographic regions while accommodating the dynamic nature of its online marketplace. eBay embraced DataStax Enterprise in 2014, recognizing its potential to handle the massive data volumes generated by its millions of sellers and buyers.
3. Spotify
Spotify, the popular music streaming service, utilizes DataStax Enterprise to manage its user activity logs and improve personalized music recommendations. By storing and analyzing user interactions with the platform, Spotify can fine-tune its recommendation algorithms, enhance playlist suggestions, and deliver a tailored music experience to individual listeners. DataStax Enterprise's robust performance and linear scalability support Spotify's growing user base and data processing demands. Spotify integrated DataStax Enterprise into its infrastructure in 2013, marking a strategic move towards data-driven decision-making and enhancing user engagement.
These case studies demonstrate how established companies such as Netflix, eBay, and Spotify harness the capabilities of DataStax Enterprise to drive innovation, improve customer experiences, and manage large-scale data operations effectively. By adopting this advanced database platform, these industry leaders stay competitive in the digital landscape and continue to deliver value to their users.
Vous pouvez accéder à une liste actualisée des entreprises utilisant DataStax Enterprise 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 41 entreprises qui utilisent DataStax Enterprise.
DataStax Enterprise est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Professional Services", "Truck Transportation", "It Services And It Consulting", "Insurance", "It Services And It Consulting", "It Services And It Consulting", "Banking", "Retail", "Banking", "Financial Services". Pour une liste complète de tous les secteurs utilisant DataStax Enterprise, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent DataStax Enterprise incluent EY, FedEx Services, Verizon, Penn Mutual Life Insurance, Phasorsoft LLC, Anant Corporation, Bank of America, Lumen, Westpac Group, ELLISPHERE et bien d'autres encore. Vous pouvez trouver une liste complète des 41 entreprises qui utilisent DataStax Enterprise sur TheirStack.com.
Selon nos données, DataStax Enterprise est le plus populaire dans États-Unis (18 companies), France (3 companies), Inde (3 companies), Royaume-Uni (2 companies), Australie (1 companies), Espagne (1 companies), Suisse (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant DataStax Enterprise 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.