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Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
27
entreprises
Nous disposons de données sur 27 entreprises qui utilisent Google Cloud Bigtable. Notre liste de clients Google Cloud Bigtable 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 |
---|---|---|---|---|
Accenture ofertas de primer empleo: | Espagne | 13 | ||
Aptiv | Irlande | Motor Vehicle Manufacturing | 180K | $17B |
IndeVets | États-Unis | Veterinary Services | 216 | |
Bristlecone | États-Unis | It Services And It Consulting | 3K | |
Stanford University | États-Unis | Higher Education | 26K | $15B |
Be in IT | Pologne | Staffing And Recruiting | 2 | |
Bell | Canada | Telecommunications | 53K | $7.9M |
![]() Veepee | France | Retail | 7.6K | $3.5B |
Endeavour Group | Australie | Entertainment Providers | 5.3K | $6.4B |
Middleware Systems | Canada | It Services And It Consulting | ||
Manasvini Global Solutions | Inde | It Services And It Consulting | ||
Aptiv plc | Irlande | Appliances, Electrical, And Electronics Manufacturing | 180K | $17B |
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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.
Google Cloud Bigtable est utilisé dans 10 pays
Il y a 11 alternatives à Google Cloud Bigtable
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 Bigtable is a fully managed, scalable NoSQL database service provided by Google Cloud. It is designed to handle massive amounts of data with high speed and low latency, making it suitable for real-time analytics and applications that require fast data access. Google Cloud Bigtable is based on the original Bigtable design created by Google, which is a distributed storage system for managing structured data. It offers a wide range of capabilities, including automatic sharding, replication, and high availability, making it a robust solution for organizations dealing with large-scale data storage and processing needs.
NoSQL Database as a Service is a category that encompasses cloud-based solutions for managing non-relational databases without the need for traditional SQL queries. It provides flexibility and scalability for handling diverse data types and large volumes of information. Google Cloud Bigtable falls under this category, offering a managed environment for users to store and access data in a schema-less format, making it ideal for applications requiring high performance and low latency data retrieval.
Google Cloud Bigtable was founded by Google in 2005 as an internal project to handle the growing demands of storing and processing vast amounts of data generated by Google services. The motivation behind creating Bigtable was to have a scalable and efficient solution to manage structured data across multiple data centers. Over the years, Google improved and refined the Bigtable technology, eventually releasing it as a fully managed service on Google Cloud Platform.
In terms of market share, Google Cloud Bigtable holds a significant position in the NoSQL Database as a Service category, competing with other major players such as Amazon DynamoDB and Azure Cosmos DB. Due to its strong performance capabilities and integration with other Google Cloud services, Google Cloud Bigtable is expected to maintain and potentially grow its market share in the future, especially as the demand for real-time analytics and big data processing continues to rise across industries.
Google Cloud Bigtable is a powerful NoSQL database service that companies utilize for its scalability, flexibility, and high-performance capabilities. By storing data in a highly available and fully managed environment, companies can efficiently handle massive workloads and process information at scale.
Google Cloud Bigtable offers unparalleled scalability, allowing companies to seamlessly handle growing amounts of data without compromising performance. Unlike traditional databases, Bigtable automatically scales to meet the demands of increasing data volume and user traffic, ensuring consistent and reliable access to information.
With its high-speed data retrieval capabilities, Google Cloud Bigtable outperforms many other similar technologies in terms of latency and throughput. Companies can effectively process real-time analytics, time-series data, and other high-volume workloads with minimal delays, contributing to improved operational efficiency and faster decision-making.
Google Cloud Bigtable seamlessly integrates with other Google Cloud services, enabling companies to create a comprehensive and cohesive data ecosystem. This tight integration simplifies the development process, accelerates time-to-market for new applications, and enhances overall productivity within the organization.
By leveraging Google Cloud Bigtable's pay-as-you-go pricing model, companies can optimize their costs based on actual usage, eliminating the need for upfront infrastructure investments. This cost-effective approach allows businesses to allocate resources efficiently, scale their operations easily, and focus on driving business growth without budget constraints.
Some notable companies that leverage Google Cloud Bigtable as part of their tech stack include Snapchat, Spotify, and Twitter.
Snapchat: Snapchat utilizes Google Cloud Bigtable to manage vast amounts of user-generated content, such as images and videos, across its platform. The company started implementing Google Cloud Bigtable in 2016 to enhance data storage and retrieval performance, allowing for seamless user experiences.
Spotify: Spotify relies on Google Cloud Bigtable to support its music streaming service by efficiently storing and retrieving large volumes of user data, such as playlists and preferences. The company adopted Google Cloud Bigtable in 2017 for its scalability and low-latency data access, enabling faster song recommendations and personalized content delivery.
Twitter: Twitter uses Google Cloud Bigtable to manage real-time tweet data, user interactions, and trending topics on its social media platform. Since integrating Google Cloud Bigtable into its infrastructure in 2015, Twitter has been able to handle high throughput workloads and optimize data storage for improved performance and reliability.
These case studies showcase how prominent companies like Snapchat, Spotify, and Twitter leverage Google Cloud Bigtable's capabilities for efficient data management and enhanced user experiences in the NoSQL Database as a Service category.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Google Cloud Bigtable 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 27 entreprises qui utilisent Google Cloud Bigtable.
Google Cloud Bigtable est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Motor Vehicle Manufacturing", "Veterinary Services", "It Services And It Consulting", "Higher Education", "Staffing And Recruiting", "Telecommunications", "Retail", "Entertainment Providers", "It Services And It Consulting". Pour une liste complète de tous les secteurs utilisant Google Cloud Bigtable, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Google Cloud Bigtable incluent Accenture ofertas de primer empleo:, Aptiv, IndeVets, Bristlecone, Stanford University, Be in IT, Bell, Veepee, Endeavour Group, Middleware Systems et bien d'autres encore. Vous pouvez trouver une liste complète des 27 entreprises qui utilisent Google Cloud Bigtable sur TheirStack.com.
Selon nos données, Google Cloud Bigtable est le plus populaire dans États-Unis (7 companies), Canada (2 companies), France (2 companies), Inde (2 companies), Irlande (2 companies), Australie (1 companies), Brésil (1 companies), Pologne (1 companies), Espagne (1 companies), Royaume-Uni (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Google Cloud Bigtable 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.