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Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.
253
entreprises
Nous disposons de données sur 253 entreprises qui utilisent Treasure Data. Notre liste de clients Treasure Data 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 |
---|---|---|---|---|
Mars | États-Unis | Manufacturing | 130K | $45B |
Informa | Royaume-Uni | Information Services | 5K | $47M |
株式会社Rise UP | Japon | Entertainment Providers | 16 | |
Diageo | Royaume-Uni | Beverage Manufacturing | 30K | |
Clarion Events | Royaume-Uni | Events Services | 691 | $84M |
NextLink Group | Suisse | It Services And It Consulting | 110 | |
Informa Markets | Royaume-Uni | Events Services | 5K | |
Philip Morris International | Suisse | Tobacco Manufacturing | 53K | $81B |
![]() MongoDB | États-Unis | Software Development | 6.6K | $874M |
Course Hero | États-Unis | Technology, Information And Internet | 3.1K | $130M |
株式会社Branding Engineer | Japon | It Services And It Consulting | 82 | |
Indicia Worldwide | Royaume-Uni | Advertising Services | 675 | $6.8B |
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Statistiques d'Utilisation Technologique et Part de Marché
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Treasure Data est utilisé dans 19 pays
Il y a 25 alternatives à Treasure Data
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.
Treasure Data is a leading cloud-based platform that provides Big Data as a Service (BDaaS) solutions to help businesses manage and analyze large volumes of data efficiently. As a powerful data management tool, Treasure Data allows organizations to collect, store, and process data from various sources in real-time, enabling them to derive valuable insights and make data-driven decisions.
In the realm of Big Data as a Service, Treasure Data stands out for its comprehensive features that cater to the diverse needs of modern businesses seeking to harness the power of data. Whether it's enabling real-time data processing, implementing data integration workflows, or facilitating advanced analytics, Treasure Data offers a scalable and flexible solution that empowers companies to leverage their data effectively.
Founded in 2011 by Hiro Yoshikawa, Kazuki Ohta, and Sadayuki Furuhashi, Treasure Data was motivated by the increasing need for organizations to leverage big data for competitive advantage. The founders aimed to provide a robust data platform that simplifies data management and analytics, enabling businesses to focus on deriving meaningful insights from their data without the complexities of traditional data infrastructure.
As of the latest data available, Treasure Data has captured a significant market share within the Big Data as a Service category, with a growing number of businesses adopting its platform for their data needs. Given the increasing reliance on data-driven decision-making across industries, the forecast suggests that Treasure Data is poised to continue its growth trajectory in the future as more companies recognize the value of leveraging data effectively.
Treasure Data, a powerful Big Data as a Service platform, offers companies a wide array of benefits that set it apart from other similar technologies in the market. With Treasure Data, businesses can efficiently manage and analyze vast amounts of data, enabling them to derive valuable insights and make informed decisions that drive growth and innovation.
Benefits of using Treasure Data include:
Treasure Data provides a unified platform for collecting, storing, and analyzing data from various sources in real-time. Unlike traditional data management systems that require multiple tools and complex integrations, Treasure Data simplifies the process, allowing companies to focus on extracting insights rather than managing infrastructure.
Treasure Data is highly scalable, enabling businesses to handle data growth without disruptions. Its flexible architecture accommodates changing data volumes and types, ensuring that companies can adapt to evolving business needs without compromising performance or incurring additional costs.
Treasure Data offers advanced analytics tools and machine learning capabilities that empower companies to perform complex analysis and predictive modeling. By leveraging these capabilities, businesses can uncover hidden patterns, trends, and correlations within their data, gaining a competitive edge in the market.
Treasure Data seamlessly integrates with existing systems, applications, and tools, making it easy for companies to incorporate data analytics into their workflows. This seamless integration eliminates silos and enables cross-functional collaboration, enhancing overall productivity and decision-making across the organization.
In summary, Treasure Data stands out as a comprehensive Big Data as a Service solution that streamlines data management, offers scalability and flexibility, provides advanced analytics capabilities, and seamlessly integrates with existing systems. These benefits collectively make Treasure Data a superior choice for companies looking to harness the power of data for strategic advantage.
Treasure Data is a popular platform in the Big Data as a Service category, used by several well-known companies to gain insights and make data-driven decisions. Here are case studies showcasing how some companies have leveraged Treasure Data to improve their operations:
1. Nintendo Nintendo, the renowned gaming company, has been utilizing Treasure Data to analyze player behavior and preferences. By collecting and analyzing data from various gaming platforms, Nintendo can tailor its gaming experiences to meet the diverse needs of its users. The company started using Treasure Data in 2017, and since then, it has been able to enhance its marketing strategies and develop more engaging games based on real-time data insights.
2. Wish Wish, an e-commerce platform, relies on Treasure Data to optimize its customer segmentation and personalize the shopping experience for its users. By leveraging Treasure Data's capabilities, Wish can track user interactions, analyze purchasing patterns, and deliver targeted promotions. Since integrating Treasure Data into its operations in 2018, Wish has seen significant improvements in customer engagement and retention rates, leading to overall business growth.
3. GREE GREE, a leading mobile game developer, has integrated Treasure Data into its data infrastructure to streamline data collection and analysis processes. By utilizing Treasure Data, GREE can efficiently manage and analyze massive amounts of gaming data, allowing the company to make informed decisions in real-time. Since adopting Treasure Data in 2016, GREE has seen improvements in game performance, user engagement, and revenue generation, reinforcing the platform's importance in their data strategy.
These case studies highlight the diverse applications of Treasure Data in different industries, showcasing how companies have successfully utilized the platform to drive growth, improve decision-making processes, and enhance customer experiences.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Treasure Data 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 253 entreprises qui utilisent Treasure Data.
Treasure Data est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Manufacturing", "Information Services", "Entertainment Providers", "Beverage Manufacturing", "Events Services", "It Services And It Consulting", "Events Services", "Tobacco Manufacturing", "Software Development", "Technology, Information And Internet". Pour une liste complète de tous les secteurs utilisant Treasure Data, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Treasure Data incluent Mars, Informa, 株式会社Rise UP, Diageo, Clarion Events, NextLink Group, Informa Markets, Philip Morris International, MongoDB, Course Hero et bien d'autres encore. Vous pouvez trouver une liste complète des 253 entreprises qui utilisent Treasure Data sur TheirStack.com.
Selon nos données, Treasure Data est le plus populaire dans États-Unis (77 companies), Royaume-Uni (26 companies), Japon (13 companies), Canada (7 companies), Espagne (5 companies), Suisse (5 companies), Inde (4 companies), France (3 companies), Irlande (2 companies), Italie (2 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Treasure Data 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.