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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
aziende
Abbiamo dati su 253 aziende che usano Treasure Data. La nostra lista di clienti Treasure Data è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Mars | Stati Uniti | Manufacturing | 130K | $45B |
Informa | Regno Unito | Information Services | 5K | $47M |
株式会社Rise UP | Giappone | Entertainment Providers | 16 | |
Diageo | Regno Unito | Beverage Manufacturing | 30K | |
Clarion Events | Regno Unito | Events Services | 691 | $84M |
NextLink Group | Svizzera | It Services And It Consulting | 110 | |
Informa Markets | Regno Unito | Events Services | 5K | |
Philip Morris International | Svizzera | Tobacco Manufacturing | 53K | $81B |
![]() MongoDB | Stati Uniti | Software Development | 6.6K | $874M |
Course Hero | Stati Uniti | Technology, Information And Internet | 3.1K | $130M |
株式会社Branding Engineer | Giappone | It Services And It Consulting | 82 | |
Indicia Worldwide | Regno Unito | Advertising Services | 675 | $6.8B |
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Treasure Data è utilizzata in 19 paesi
Ci sono 25 alternative a Treasure Data
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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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Treasure Data visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 253 aziende che utilizzano Treasure Data.
Treasure Data è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Manufacturing", "Information Services", "Entertainment Providers", "Beverage Manufacturing", "Events Services", "It Services And It Consulting", "Events Services", "Tobacco Manufacturing", "Software Development", "Technology, Information And Internet". Per un elenco completo di tutti i settori che utilizzano Treasure Data, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Treasure Data includono Mars, Informa, 株式会社Rise UP, Diageo, Clarion Events, NextLink Group, Informa Markets, Philip Morris International, MongoDB, Course Hero e molte altre. Puoi trovare un elenco completo di 253 aziende che utilizzano Treasure Data su TheirStack.com.
Secondo i nostri dati, Treasure Data è più popolare in Stati Uniti (77 companies), Regno Unito (26 companies), Giappone (13 companies), Canada (7 companies), Spagna (5 companies), Svizzera (5 companies), India (4 companies), Francia (3 companies), Irlanda (2 companies), Italia (2 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Treasure Data cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.