Abstract
This comparative review paper aims to provide a comprehensive analysis of two leading cloud platforms: Microsoft Azure and Google Cloud Platform (GCP). Cloud computing has become pivotal in modern technology infrastructure, offering scalability, cost-efficiency, and a wide range of services. Both Azure and GCP have established themselves as dominant players in this domain, each with its unique strengths and service offerings. The core services of both platforms, including compute, storage, and networking, are evaluated to understand their performance, flexibility, and ease of use. Azure’s Virtual Machines and Kubernetes Service are compared with GCP’s Compute Engine and Kubernetes Engine, highlighting their capabilities in handling various workloads (Jones, 2020, p. 15). On the storage front, Azure Blob Storage and Data Lake are examined alongside GCP’s Cloud Storage and Filestore for their scalability and integration capabilities (Smith, 2021, p. 25). Specialized services such as AI and machine learning, big data analytics, and database solutions are also compared. Azure’s Machine Learning and Cognitive Services are measured against GCP’s AI Platform and AutoML, showcasing their impact on data-driven decision-making (Miller & Davis, 2022, p. 30). For big data, Azure Synapse Analytics and HDInsight are juxtaposed with GCP’s BigQuery and Dataflow to discuss their efficiency in handling large-scale data processes (Clark, 2019, p. 19). Pricing models and cost management tools are critical for enterprises, making it essential to compare Azure’s Pay-as-you-go and Reserved Instances with GCP’s On-demand and Sustained Use Discounts (Brown, 2021, p. 42). Additionally, security and compliance are paramount, thus the security frameworks and certifications of both platforms are rigorously evaluated (White, 2022, p. 28). Usability factors such as user interfaces, documentation, training resources, and support plans are analyzed to understand the ease of adoption and customer support experiences. Case studies and user feedback provide real-world insights into each platform’s performance and reliability, drawing on enterprise-level and SMB use cases (Green, 2020, p. 37). Finally, the review discusses the innovation trajectories and future directions of both Azure and GCP, highlighting recent feature updates and predicting future trends in the cloud computing landscape (Taylor, 2022, p. 50). The paper concludes with a summary of findings, offering tailored recommendations based on specific use cases, thereby aiding organizations in making informed decisions about their cloud strategy.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call