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Qubole is a cloud based service that makes big data easy for analysts and data engineers.
95
entreprises
Nous disposons de données sur 95 entreprises qui utilisent Qubole. Notre liste de clients Qubole 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 |
---|---|---|---|---|
Goodway Group | États-Unis | Advertising Services | 550 | $160M |
Referrals Only | États-Unis | Manufacturing | ||
Expedia Group | États-Unis | Software Development | 23K | $11B |
Thoughtworks | États-Unis | It Services And It Consulting | 13K | $1.3B |
![]() MiQ Digital | États-Unis | It Services And It Consulting | 1.4K | $458M |
Spark Foundry | États-Unis | Advertising Services | 3K | $600M |
Getty Images | États-Unis | Photography | 6.1K | $900M |
![]() Fanatics | États-Unis | Technology, Information And Internet | 10K | $6B |
Expedia.com | États-Unis | Advertising Services | 47 | $15M |
Morgan Wendellman | États-Unis | It Services And It Consulting | 1 | |
The Trade Desk | États-Unis | Technology, Information And Internet | 3.7K | $1.5B |
UCB | Belgique | Pharmaceutical Manufacturing | 13K | $5.2M |
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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.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
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.
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Qubole est utilisé dans 9 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.
Qubole is a leading technology platform in the realm of Big Data as a Service. It enables organizations to effectively manage their big data pipelines through cloud-based solutions. Qubole streamlines the process of data ingestion, processing, and analysis, allowing businesses to derive valuable insights from their vast datasets efficiently.
In the realm of Big Data as a Service, Qubole stands out as a comprehensive solution that caters to diverse data processing needs. It offers a range of tools and functionalities that facilitate tasks such as data querying, transformation, and visualization. With advanced features like auto-scaling and intelligent workload management, Qubole empowers users to harness the power of big data without the complexities typically associated with data processing workflows.
Founded in 2011 by Ashish Thusoo and Joydeep Sen Sarma, former Facebook engineers, Qubole emerged with the vision of simplifying big data processing for enterprises. The founders recognized the increasing demand for scalable and cost-effective data solutions, prompting them to create a platform that would democratize access to big data technologies. Since its inception, Qubole has garnered significant attention in the tech industry for its innovative approach to cloud-based data processing.
Currently, Qubole holds a substantial market share in the Big Data as a Service category, owing to its robust features and user-friendly interface. As organizations continue to prioritize data-driven decision-making, the demand for efficient big data solutions is expected to rise. Therefore, Qubole is well-positioned to experience further growth in the future, as more businesses recognize the value of leveraging big data for strategic insights and competitive advantages.
Qubole is a leading platform in the field of Big Data as a Service, offering companies a wide range of benefits that set it apart from other similar technologies. This comprehensive platform enables organizations to efficiently manage, analyze, and derive valuable insights from their vast amounts of data.
Qubole provides seamless scalability, allowing companies to effortlessly adjust resources based on their specific needs. Unlike traditional solutions that often require manual intervention, Qubole offers automated scaling capabilities that ensure optimal performance at all times.
With Qubole, data security is a top priority. The platform incorporates robust security measures to protect sensitive information, including encryption, access controls, and monitoring. This heightened level of security surpasses many other technologies in the market, giving companies peace of mind when handling their data.
Qubole streamlines the data processing workflow, simplifying complex tasks and reducing processing times. By leveraging advanced algorithms and parallel processing capabilities, Qubole outperforms its competitors in terms of efficiency and speed, enabling companies to derive insights faster and more effectively.
By leveraging Qubole, companies can significantly reduce operational costs associated with managing and processing large datasets. The platform's efficient resource utilization and pay-as-you-go pricing model make it a cost-effective choice compared to traditional on-premises solutions or other cloud-based alternatives.
In summary, Qubole stands out as a top choice for companies looking to harness the power of Big Data as a Service, offering unparalleled scalability, security, efficiency, and cost-effectiveness.
Introductory paragraph:
Qubole is a widely-used Big Data as a Service platform that helps companies process and analyze massive data sets efficiently. Some prominent companies leveraging Qubole for their data analytics needs include Adobe, Gannett, and Indeed. Let's explore how these companies have benefited from using Qubole through their respective case studies.
Case Studies:
Adobe:
Adobe, a global leader in digital media and marketing solutions, relies on Qubole to streamline its data processing and analysis workflows. They started using Qubole in 2017 to enhance their data analytics capabilities, allowing them to derive valuable insights from their extensive data repositories. By leveraging Qubole, Adobe has significantly improved the speed and efficiency of their data operations, enabling faster decision-making and driving innovation across their various product lines.
Gannett:
Gannett, a media and marketing solutions company, turned to Qubole to optimize its data processing infrastructure and enhance its data-driven decision-making processes. Since implementing Qubole in 2015, Gannett has been able to scale its data operations seamlessly, processing large volumes of data with increased speed and accuracy. By utilizing Qubole's advanced analytics tools, Gannett has improved the efficiency of its marketing campaigns and gained valuable insights into customer behavior, leading to enhanced business outcomes.
Indeed:
Indeed, a leading online job search platform, has integrated Qubole into its data analytics ecosystem to enhance its search algorithms and optimize user experience. By utilizing Qubole's powerful data processing capabilities since 2019, Indeed has been able to analyze vast amounts of job posting data in real-time, improving the relevance and accuracy of search results for millions of users worldwide. Qubole has enabled Indeed to fine-tune its recommendation engine and deliver personalized job search results to users, ultimately driving higher engagement and satisfaction levels on the platform.
These case studies highlight how companies like Adobe, Gannett, and Indeed have leveraged Qubole to harness the power of big data, drive business growth, and gain a competitive edge in their respective industries.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Qubole 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 95 entreprises qui utilisent Qubole.
Qubole est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Advertising Services", "Manufacturing", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "Advertising Services", "Photography", "Technology, Information And Internet", "Advertising Services", "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Qubole, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Qubole incluent Goodway Group, Referrals Only, Expedia Group, Thoughtworks, MiQ Digital, Spark Foundry, Getty Images, Fanatics, Expedia.com, Morgan Wendellman et bien d'autres encore. Vous pouvez trouver une liste complète des 95 entreprises qui utilisent Qubole sur TheirStack.com.
Selon nos données, Qubole est le plus populaire dans États-Unis (60 companies), Royaume-Uni (6 companies), Inde (4 companies), France (2 companies), Singapour (2 companies), Belgique (1 companies), Canada (1 companies), Malaisie (1 companies), Suisse (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Qubole 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.