Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
It is a managed Spark and Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. It helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them.
73
aziende
Abbiamo dati su 73 aziende che usano Google Cloud Dataproc. La nostra lista di clienti Google Cloud Dataproc 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 |
---|---|---|---|---|
Fluree | Stati Uniti | It Services And It Consulting | 36 | $4M |
Voyage Privé | Francia | Retail | 900 | $5.8M |
LTK USA | Stati Uniti | Technology, Information And Internet | 820 | $63M |
Adevinta Group | Spagna | Online Audio And Video Media | 5K | $932M |
![]() LTK | Stati Uniti | Software Development | 995 | $63M |
Cognizant Technology Solutions | Stati Uniti | It Services And It Consulting | 341K | $19B |
![]() Movable Ink | Stati Uniti | Software Development | 615 | $70M |
eCom Solutions Inc | Stati Uniti | It Services And It Consulting | 45 | $3.9M |
Trinity IT Services | Stati Uniti | It Services And It Consulting | 22 | |
Prodapt | India | Media & Telecommunications | 5K | $100M |
![]() Veepee | Francia | Retail | 7.6K | $3.5B |
Adevinta Spain | Spagna | Technology, Information And Internet | 10K | $932M |
Vuoi scaricare l'intera lista?
Iscriviti e scarica l'elenco completo delle 73 aziende
Loading countries...
Loading other techonlogies...
Statistiche sull'Uso delle Tecnologie e Quota di Mercato
Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
Ci sono 45 alternative a Google Cloud Dataproc
32,5k
20,2k
13,8k
9,3k
9,3k
9k
6,2k
6,1k
4,8k
2,9k
2,9k
2,8k
2,1k
1,9k
1,9k
1,3k
910
620
534
463
383
274
272
254
214
203
201
180
176
157
117
107
86
85
82
67
51
29
19
15
8
6
3
2
0
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
Google Cloud Dataproc is a managed service on Google Cloud Platform that allows users to run Apache Spark and Apache Hadoop clusters with ease. It provides a fast, easy-to-use, and fully managed environment for developing and running big data applications. With Google Cloud Dataproc, users can quickly create Spark and Hadoop clusters and scale them easily to accommodate their data processing needs. This technology simplifies the process of deploying and managing clusters, making it an attractive option for organizations looking to leverage big data tools efficiently.
Google Cloud Dataproc falls under the category of Big Data Tools, which encompasses a range of technologies and services designed to handle large volumes of data for analysis, processing, and visualization. Within this category, Google Cloud Dataproc stands out for its focus on providing a managed environment specifically optimized for running Spark and Hadoop workflows. It offers integration with other Google Cloud Platform services, seamless cluster management, and the flexibility to scale clusters up or down based on demand.
Founded in 2014, Google Cloud Dataproc was introduced by Google Cloud as a response to the growing demand for scalable and cost-effective big data processing solutions. The motivation behind the creation of Google Cloud Dataproc was to simplify the process of running Apache Spark and Hadoop workloads in the cloud, enabling organizations to focus on deriving insights from their data rather than managing infrastructure. Since its inception, Google Cloud Dataproc has evolved to become a popular choice for businesses looking to harness the power of big data analytics.
As of the latest data, Google Cloud Dataproc holds a significant market share within the Big Data Tools category, thanks to its robust features and seamless integration with other Google Cloud services. The forecast for Google Cloud Dataproc suggests that it is poised to grow further in the future, as organizations continue to invest in big data analytics and look for efficient ways to process and analyze large datasets. With its scalability, performance, and ease of use, Google Cloud Dataproc is well-positioned to meet the evolving needs of companies seeking advanced big data processing solutions.
Google Cloud Dataproc is a powerful tool used by companies to process and analyze large datasets efficiently. By leveraging Google's infrastructure, companies can harness the benefits of Dataproc to streamline their big data operations and unlock valuable insights. Some key advantages of using Google Cloud Dataproc include:
Google Cloud Dataproc offers a cost-effective solution for companies looking to manage their big data workloads. With Dataproc's pay-as-you-go pricing model, businesses can scale their cluster resources based on demand, ensuring they only pay for what they use. This flexibility sets Dataproc apart from traditional on-premises solutions that require hefty upfront investments in infrastructure.
Google Cloud Dataproc enables seamless scalability, allowing companies to quickly expand or shrink their cluster sizes based on workload requirements. This dynamic scaling capability ensures optimal performance and resource utilization, empowering organizations to handle varying workloads without manual intervention. Compared to fixed-capacity solutions, Dataproc offers unparalleled adaptability, enhancing operational efficiency.
Dataproc seamlessly integrates with other Google Cloud services, such as BigQuery and TensorFlow, providing a comprehensive ecosystem for big data processing and machine learning tasks. This tight integration simplifies workflow management and data movement between services, accelerating time-to-insights for businesses. Unlike standalone tools, Dataproc's ecosystem synergy fosters a cohesive data environment, enhancing productivity and collaboration within organizations.
Google Cloud Dataproc is a fully managed service, eliminating the need for companies to handle cluster provisioning, configuration, and maintenance tasks manually. This managed approach reduces operational overhead and frees up resources to focus on data analysis and decision-making. Unlike self-managed platforms that require dedicated IT resources, Dataproc offers a hassle-free experience, enabling companies to leverage big data capabilities efficiently.
In conclusion, Google Cloud Dataproc stands out as a leading choice for companies seeking a reliable and cost-effective solution for processing big data workloads. Its scalability, seamless integration with Google Cloud services, and managed service model make it a compelling option in the realm of Big Data Tools technology.
Google Cloud Dataproc is a powerful tool used by various companies for their big data processing needs. Here are some real-world case studies showcasing how companies are leveraging Google Cloud Dataproc:
PayPal
PayPal, a leading online payment system, utilizes Google Cloud Dataproc to handle large-scale data processing tasks such as log analysis, fraud detection, and personalized recommendations for users. They started using Dataproc in 2017, which significantly improved their data processing speed and efficiency while reducing operational costs.
Spotify
Spotify, the popular music streaming service, leverages Google Cloud Dataproc to analyze vast amounts of user data to enhance their music recommendation algorithms and improve user experience. By implementing Dataproc in their data infrastructure in 2016, Spotify achieved faster processing times for complex queries and real-time analytics, leading to more personalized music suggestions.
Twitter
Twitter, the social media platform, employs Google Cloud Dataproc to analyze real-time tweet data and trends, enabling them to improve content relevance, user engagement, and ad targeting. Since integrating Dataproc into their data processing pipeline in 2018, Twitter has seen significant improvements in data processing speed, scalability, and cost-effectiveness.
These case studies demonstrate how well-established companies like PayPal, Spotify, and Twitter are successfully utilizing Google Cloud Dataproc to enhance their big data processing capabilities and drive business value.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Google Cloud Dataproc 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 73 aziende che utilizzano Google Cloud Dataproc.
Google Cloud Dataproc è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "It Services And It Consulting", "Retail", "Technology, Information And Internet", "Online Audio And Video Media", "Software Development", "It Services And It Consulting", "Software Development", "It Services And It Consulting", "It Services And It Consulting", "Media & Telecommunications". Per un elenco completo di tutti i settori che utilizzano Google Cloud Dataproc, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Google Cloud Dataproc includono Fluree, Voyage Privé, LTK USA, Adevinta Group, LTK, Cognizant Technology Solutions, Movable Ink, eCom Solutions Inc, Trinity IT Services, Prodapt e molte altre. Puoi trovare un elenco completo di 73 aziende che utilizzano Google Cloud Dataproc su TheirStack.com.
Secondo i nostri dati, Google Cloud Dataproc è più popolare in Stati Uniti (39 companies), Canada (3 companies), Spagna (3 companies), Francia (2 companies), Brasile (1 companies), India (1 companies), Italia (1 companies), Singapore (1 companies), Regno Unito (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Google Cloud Dataproc 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.
Google Cloud Dataproc è utilizzata in 9 paesi