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Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.
15
entreprises
Nous disposons de données sur 15 entreprises qui utilisent Apache Kylin. Notre liste de clients Apache Kylin 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 |
---|---|---|---|---|
Maincare Solutions | France | It Services And It Consulting | 530 | $83M |
Kyligence | États-Unis | It Services And It Consulting | 140 | $6.5M |
Amex | États-Unis | Financial Services | 79K | $55B |
![]() OLX Group | Pays-Bas | It Services And It Consulting | 4.5K | $1.2B |
American Express | États-Unis | Financial Services | 77K | $55B |
Rivian Automotive | États-Unis | Motor Vehicle Manufacturing | 10K | $1B |
NOVENTI HealthCare GmbH | Allemagne | Hospitals And Health Care | 1K | |
EXTERNATIC | France | It Services And It Consulting | 29 | |
DACTA SAC | Pérou | It Services And It Consulting | ||
Wistia | États-Unis | Internet Publishing | 194 | $40M |
Incedo Inc. | États-Unis | It Services And It Consulting | 3.7K |
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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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Apache Kylin est utilisé dans 5 pays
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.
Apache Kylin is a cutting-edge open-source distributed analytics engine designed to provide a fast and scalable solution for interactive analytics on big data. It is specifically optimized to support extremely large datasets in the realm of petabytes and beyond, making it an ideal tool for organizations dealing with massive amounts of data. By leveraging the power of Apache Kylin, businesses can accelerate query performance, reduce latency, and enable real-time analysis of their data, ultimately empowering them to make data-driven decisions effectively and efficiently.
Apache Kylin falls under the category of Big Data Tools, focusing on enhancing the analytical capabilities of organizations dealing with vast volumes of complex data. This technology allows users to perform multidimensional analysis, OLAP (Online Analytical Processing) modeling, and cube building on big data platforms, enabling them to derive valuable insights and perform advanced analytics to support business decision-making processes. With its ability to efficiently handle large datasets and complex queries, Apache Kylin plays a crucial role in the big data analytics landscape.
Established in 2013 by the team at eBay Inc., Apache Kylin was originally created to address the challenges of querying massive datasets within the e-commerce industry. The motivation behind developing Apache Kylin stemmed from the need to accelerate the querying process for online analytical processing tasks while handling the extensive data volumes generated by eBay's business operations. Over the years, Apache Kylin has evolved into a widely adopted solution in the big data analytics domain, catering to the analytical needs of diverse industries worldwide.
Currently, Apache Kylin holds a significant market share within the Big Data Tools category, with a growing presence in enterprises looking to harness the power of big data analytics. As the demand for scalable and efficient analytics solutions continues to rise, Apache Kylin is forecasted to experience further growth in the future, driven by its performance capabilities and advanced features that cater to the evolving data analytics requirements of modern businesses.
Apache Kylin is a powerful Big Data tool that companies use for its advanced capabilities in processing and analyzing large volumes of data efficiently. With its exceptional features and functionalities, Apache Kylin has become a preferred choice for organizations looking to derive valuable insights from their data.
Benefits of Apache Kylin include:
Apache Kylin offers lightning-fast query performance, thanks to its unique pre-calculation and cube technology. By pre-calculating data metrics and storing them in cubes, Apache Kylin significantly accelerates query processing speed compared to traditional Big Data tools. This allows companies to perform complex analytics tasks in a fraction of the time, leading to faster decision-making and improved operational efficiency.
Apache Kylin is highly scalable and flexible, making it suitable for organizations of all sizes. Unlike other similar technologies that may struggle to handle growing data volumes, Apache Kylin can seamlessly scale with the increasing demands of a business without compromising performance. Its flexible architecture also enables easy integration with existing systems and tools, ensuring a smooth transition process for companies adopting Apache Kylin.
One of the key advantages of Apache Kylin is its cost-effectiveness. By streamlining and optimizing data processing operations, Apache Kylin helps companies reduce infrastructure costs associated with running complex analytics workloads. Compared to other similar technologies that may require extensive resources and maintenance efforts, Apache Kylin offers a more cost-efficient solution for organizations looking to make the most of their Big Data analytics capabilities.
Apache Kylin is a powerful open-source distributed analytics engine designed for Big Data platforms, enabling fast interactive OLAP on large datasets. Several prominent companies across different industries leverage Apache Kylin to enhance their data analytics capabilities and derive valuable insights. Here are a few real-world case studies showcasing how companies have successfully implemented Apache Kylin:
1. eBay eBay, a multinational e-commerce corporation, utilizes Apache Kylin to optimize its data warehousing and analytics processes. By implementing Apache Kylin, eBay has significantly reduced query latency and improved the speed of complex analytical queries on massive datasets. The company started using Apache Kylin in 2017 and has since experienced enhanced performance in real-time data processing and report generation.
2. Xiaomi Xiaomi, a leading global technology company known for its smartphones and consumer electronics, relies on Apache Kylin to streamline its data analysis workflows. By leveraging Apache Kylin's cube-based multidimensional analytics capabilities, Xiaomi has achieved accelerated query processing and improved overall data accuracy. The company integrated Apache Kylin into its data infrastructure in 2018, enabling faster generation of business reports and insights.
3. Meituan Dianping Meituan Dianping, a prominent Chinese e-commerce platform offering various online services, utilizes Apache Kylin to enhance its data processing and analytics operations. Apache Kylin has empowered Meituan Dianping to efficiently handle complex analytics queries and derive actionable insights from vast amounts of transactional data. The company adopted Apache Kylin in 2016 and has since seen significant improvements in query performance and data analysis efficiency.
These case studies highlight how companies like eBay, Xiaomi, and Meituan Dianping have successfully leveraged Apache Kylin to optimize their data analytics processes, improve query performance, and derive valuable insights from their vast datasets. By incorporating Apache Kylin into their technology stack, these companies have demonstrated the transformative power of advanced analytics tools in driving business growth and innovation in the competitive landscape of modern data-driven industries.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Apache Kylin 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 15 entreprises qui utilisent Apache Kylin.
Apache Kylin est utilisé par une large gamme d'organisations dans divers secteurs, y compris "It Services And It Consulting", "It Services And It Consulting", "Financial Services", "It Services And It Consulting", "Financial Services", "Motor Vehicle Manufacturing", "Hospitals And Health Care", "It Services And It Consulting", "It Services And It Consulting", "Internet Publishing". Pour une liste complète de tous les secteurs utilisant Apache Kylin, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Apache Kylin incluent Maincare Solutions, Kyligence, Amex, OLX Group, American Express, Rivian Automotive, NOVENTI HealthCare GmbH, EXTERNATIC, DACTA SAC, Wistia et bien d'autres encore. Vous pouvez trouver une liste complète des 15 entreprises qui utilisent Apache Kylin sur TheirStack.com.
Selon nos données, Apache Kylin est le plus populaire dans États-Unis (6 companies), France (2 companies), Allemagne (1 companies), Pays-Bas (1 companies), Pérou (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Apache Kylin 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.