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Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.
295
entreprises
Nous disposons de données sur 295 entreprises qui utilisent Google Cloud Dataflow. Notre liste de clients Google Cloud Dataflow 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 |
---|---|---|---|---|
Bayer | Allemagne | Chemical Manufacturing | 111K | $50B |
CVS Health | États-Unis | Hospitals And Health Care | 300K | $331B |
Scotiabank | Canada | Banking | 92K | $26B |
Visa | États-Unis | It Services And It Consulting | 26K | $31B |
Spotify | Suède | Musicians | 15K | $14B |
BayOne | États-Unis | It Services And It Consulting | 1K | $32M |
Kairos Technologies | États-Unis | It Services And It Consulting | 351 | |
Vimeo | États-Unis | Software Development | 1.5K | $392M |
ASML | Pays-Bas | Semiconductor Manufacturing | 39K | $23B |
LiveScore Group | Royaume-Uni | Spectator Sports | 750 | $135M |
CoreLogic | États-Unis | Information Services | 6.2K | $1.6B |
Waymo | États-Unis | Technology, Information And Internet | 3K | $657M |
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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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Google Cloud Dataflow est utilisé dans 29 pays
Il y a 3 alternatives à Google Cloud Dataflow
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.
Google Cloud Dataflow is a powerful technology developed by Google Cloud Platform for real-time data processing and batch processing at scale. It provides a serverless, fully managed service for executing Apache Beam pipelines, making it easier to develop robust and efficient data processing workflows in the cloud.
Real-time Data Processing involves the continuous input, processing, and output of data in real-time, allowing organizations to derive immediate insights and take instant actions based on the incoming data streams. Google Cloud Dataflow falls under this category, enabling users to process and analyze data in real-time with high throughput and low latency.
Google Cloud Dataflow was founded in 2014 by Google with the aim of simplifying the process of building and deploying data pipelines for real-time processing. The motivation behind the development of Dataflow was to offer a scalable and cost-effective solution for organizations to handle large volumes of data in real-time, without the need to manage infrastructure complexities.
In terms of market share, Google Cloud Dataflow is one of the leading players in the real-time data processing category, competing with other major cloud service providers offering similar services. With the increasing demand for real-time data processing capabilities in industries like e-commerce, finance, and IoT, Google Cloud Dataflow is poised to experience continued growth in its market share in the coming years as more companies adopt real-time data processing solutions for their business operations.
Google Cloud Dataflow is a powerful tool extensively utilized by companies for real-time data processing tasks. Its seamless scalability, efficiency, and comprehensive analytics capabilities make it a top choice for businesses aiming to leverage real-time data insights effectively.
Google Cloud Dataflow provides automatic resource provisioning, allowing companies to effortlessly scale their data processing pipelines based on demand. Unlike traditional on-premise solutions that require manual intervention for scaling, Dataflow adapts dynamically to workload fluctuations, ensuring optimal performance and cost-efficiency.
With Google Cloud Dataflow's unified programming model, organizations can write batch and streaming data processing pipelines using the same codebase. This significantly reduces development time and complexity compared to using disparate tools for batch and stream processing, resulting in a more streamlined and agile data processing workflow.
Google Cloud Dataflow integrates seamlessly with other Google Cloud services, such as BigQuery and Data Studio, enabling companies to perform advanced analytics and generate real-time reports effortlessly. This tight integration eliminates the need for complex data transformations between tools, facilitating quicker insights delivery and informed decision-making.
In summary, Google Cloud Dataflow stands out in the realm of real-time data processing technologies due to its unparalleled scalability, efficiency, and seamless integration capabilities.
Google Cloud Dataflow is a powerful tool used by various companies to streamline their real-time data processing operations. Below are some case studies showcasing how different companies leverage Google Cloud Dataflow to enhance their business processes:
Spotify: Spotify, the renowned music streaming service, utilizes Google Cloud Dataflow to analyze and process vast amounts of data generated by user interactions on their platform. By implementing Dataflow, Spotify can perform real-time data processing to optimize user recommendations, personalize playlists, and improve overall user experience. Spotify started using Google Cloud Dataflow in 2018 to scale their data processing capabilities efficiently.
Twitter: Twitter, the popular social media platform, relies on Google Cloud Dataflow to process real-time tweets and extract valuable insights for various analytical purposes. With Dataflow, Twitter can handle massive volumes of data streams, perform complex data transformations, and derive actionable intelligence to enhance user engagement and content relevance. Twitter integrated Google Cloud Dataflow into their infrastructure in 2017 and has since benefited from its scalable and efficient data processing capabilities.
LinkedIn: LinkedIn, the leading professional networking platform, harnesses the power of Google Cloud Dataflow to process real-time updates, user interactions, and content recommendations on their platform. By leveraging Dataflow, LinkedIn can analyze user behavior patterns, deliver personalized content, and enhance platform usability. LinkedIn adopted Google Cloud Dataflow in 2016, enabling them to handle data processing tasks seamlessly and drive meaningful user engagement strategies.
These case studies demonstrate how prominent companies like Spotify, Twitter, and LinkedIn leverage Google Cloud Dataflow to revolutionize their real-time data processing operations, leading to enhanced performance, improved user experiences, and actionable insights for informed decision-making.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Google Cloud Dataflow 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 295 entreprises qui utilisent Google Cloud Dataflow.
Google Cloud Dataflow est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Chemical Manufacturing", "Hospitals And Health Care", "Banking", "It Services And It Consulting", "Musicians", "It Services And It Consulting", "It Services And It Consulting", "Software Development", "Semiconductor Manufacturing", "Spectator Sports". Pour une liste complète de tous les secteurs utilisant Google Cloud Dataflow, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Google Cloud Dataflow incluent Bayer, CVS Health, Scotiabank, Visa, Spotify, BayOne, Kairos Technologies, Vimeo, ASML, LiveScore Group et bien d'autres encore. Vous pouvez trouver une liste complète des 295 entreprises qui utilisent Google Cloud Dataflow sur TheirStack.com.
Selon nos données, Google Cloud Dataflow est le plus populaire dans États-Unis (129 companies), Royaume-Uni (17 companies), Canada (15 companies), Inde (14 companies), Allemagne (10 companies), France (5 companies), Brésil (4 companies), Suisse (4 companies), Australie (2 companies), Irlande (2 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Google Cloud Dataflow 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.