

Amazon AWS and Google Compute Engine both compete in the cloud computing industry. AWS has the upper hand due to its broader service offerings and unique features like serverless computing and content delivery networks.
Features: AWS offers features like flexible EC2 instances, simple storage through S3, and a highly secure and scalable infrastructure with global data centers. Its diverse programming environment simplifies infrastructure management. Google Compute Engine provides customizable virtual machines, cost-effective ephemeral instances, and strong API integrations, making migration and management more user-friendly.
Room for Improvement: AWS can improve in areas such as service downtimes, simplifying its pricing structure, and enhancing integration with third-party tools. Google Compute Engine needs to improve its security setup, multi-region support, and licensing processes. Its user interface could be more intuitive, and it needs a wider range of virtual machine options.
Ease of Deployment and Customer Service: AWS is praised for its ease of deployment and robust customer support systems, although its responsiveness can vary. Google offers strong service with adaptable deployments but may be less hands-on, relying more on automation.
Pricing and ROI: AWS uses a pay-as-you-go model that can become costly with scale due to its wide service range, yet it promises long-term ROI. Google Compute Engine offers competitive pricing, often cheaper due to flexible billing options, yielding significant ROI through cost savings, especially for ephemeral instances.
Reaching out to them and talking is different from receiving a complete solution to your problem.
We have a direct line to Amazon AWS, with premium support and AWS members located within the company.
Amazon AWS has good technical engineers available, making their customer service reliable.
The scalability of Amazon AWS is excellent.
When setting up resources, the maximum limit can go high or low, at which time instances are increased, which helps maintain latency standards.
Amazon AWS provides strong scalability features, but the scaling process could be made more straightforward.
If I am spinning up any managed service from the console, sometimes it fails to start up, and there will be no information about why it failed.
The stability of Google Compute Engine is on par with other servers, akin to using instances from AWS, as no one needs any downtime.
Pricing is an area where Amazon AWS could provide more flexible options, especially when compared to Google Cloud, which offers more flexible options comparatively.
When using scripts for APIs to fetch data, they don't match the data exactly with the request.
If I create a Glue job, that will create S3 buckets and other resources that have cost implications, but once I clean up a Glue job, it does not delete the other accessory resources.
I have noticed a positive impact since the deployment of Google Compute Engine; it is simpler.
After three to four years, if you are not managing it correctly, you will be paying more than an on-premise solution, which applies to all cloud providers, so you must regularly maintain and manage for efficiency.
Currently, Amazon AWS is known to be on the higher price range because popular and in-demand services often come at a premium.
It is difficult to recommend GCP due to its complex architecture.
Amazon AWS provides IAM features for user access management as well as KMS through key management service with private and public key encryption methodology.
Their infrastructure is robust, allowing for increased capacity as user volume grows.
One aspect I appreciate in Amazon AWS is their support team, which is excellent.
What I like the most about Google Compute Engine is SSH access and the different price categories.
In GCP, there's a custom configuration feature unlike AWS and Azure.
| Product | Mindshare (%) |
|---|---|
| Amazon AWS | 16.2% |
| Google Compute Engine | 1.3% |
| Other | 82.5% |

| Company Size | Count |
|---|---|
| Small Business | 131 |
| Midsize Enterprise | 48 |
| Large Enterprise | 114 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
Amazon AWS offers cloud services known for ease of use, scalability, and diverse services such as EC2, S3, and Lambda. Its pay-as-you-go pricing and robust security features make it a preferred choice for businesses managing growing demands efficiently.
Amazon AWS provides a comprehensive ecosystem with services like EC2 for computing, S3 for storage, and Lambda for serverless computing. It emphasizes scalability and quick resource provisioning, allowing businesses to handle IT workloads, host websites, and manage analytics seamlessly. AWS integrates a wide range of services, enhancing flexibility and reliability while offering robust security and automated management to streamline operations.
What are the most important features of Amazon AWS?Amazon AWS is widely implemented across industries for cloud computing, infrastructure hosting, and data storage. Businesses in finance, healthcare, and technology sectors leverage AWS for running applications, hosting analytics databases, and deploying scalable solutions. By utilizing tools like EC2, S3, and Lambda, they ensure flexibility and security in infrastructure management and data applications, meeting diverse operational needs effectively.
Google Compute Engine provides scalable virtual machines for hosting applications and services with integration into Google's ecosystem. Offering cost-saving options and customizable machine configurations, it supports high availability, effective migration, and flexible resource allocation.
Google Compute Engine stands out by offering seamless integration with Google services and cost-effective options such as Spot VMs and auto-scaling. With SSH access, customizable machine configurations, managed instance groups, and robust API integration, it provides a powerful platform. Enhanced by comprehensive documentation, it supports businesses in their cloud computing and storage requirements. While it is a robust solution, enhancements are needed in SQL query construction, user interface for non-tech users, multi-region support, and container deployment UI. Simplification of security setups and licensing processes, including BYOL, and improvements in hardware availability outside North America could enhance functionality further. Users benefit from its networking capabilities across multiple regions and features like instance templates and managed instances for consistent configurations and high availability, making it a reliable solution for testing, disaster recovery, and migrating workloads from on-premises environments.
What are the key features of Google Compute Engine?In industries such as technology and e-commerce, Google Compute Engine facilitates rapid deployment of virtual machines for hosting applications and services. It supports efficient testing, disaster recovery operations, and workload migration, making it a valuable asset in dynamic business environments that demand reliable cloud solutions.
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