Google Compute Engine and Google Cloud products compete in the cloud computing market. While Google Compute Engine is praised for efficient scaling and cost-effective customization of virtual machines, Google Cloud is favored for robust integration and ease of use with other Google services.
Features: Google Compute Engine offers customizable virtual machine configurations, efficient scaling with managed instance groups, and cost-effective Spot and preemptible instances. Google Cloud emphasizes product integration, simplified deployment, and enhanced data analysis capabilities through Google Cloud Datalab.
Room for Improvement: Google Compute Engine could improve its user interface, broaden region availability, and simplify licensing processes. Google Cloud may enhance analytics functionality, increase setup resources, and provide better cost transparency.
Ease of Deployment and Customer Service: Google Compute Engine requires technical expertise for optimal use, with noted areas for improvement in customer response. Google Cloud is recognized for user-friendly deployment, though continuous support improvements are desired.
Pricing and ROI: Google Compute Engine operates on a pay-as-you-go model, offering potential savings, especially for development environments. Google Cloud offers competitive pricing but faces challenges in expected versus actual costs, with users appreciating its pricing flexibility.
Google's technical support is highly expert and proficient.
Cloud support directly is not strong, but via partners is strong.
We have consulted Google support several times, and we received a quick response.
Google Cloud is highly scalable, and we have not faced any issues with its scalability.
If I had to rate scalability from one to ten, I would rate it a nine as we have never faced any issues with scalability.
This solution is suitable for enterprise-level organizations, particularly in finance and healthcare domains where there is substantial data volume.
The stability of Google Compute Engine is on par with other servers, akin to using instances from AWS, as no one needs any downtime.
If the hierarchy or similarities were the same, that would help developers more conveniently migrate from a traditional SQL server to BigQuery.
Providing more hypervisors would be beneficial.
Everything is up and running smoothly, and we are working on integrating a couple of projects, including business intelligence and AI tools.
I have noticed a positive impact since the deployment of Google Compute Engine; it is simpler.
Compared to buying new hardware, Google Cloud offers flexible options for scaling up or down, making it more convenient.
As far as I know, it is a little more expensive compared to other cloud options.
It is difficult to recommend GCP due to its complex architecture.
The most valuable features of Google Cloud for us are the integration with Kubernetes, IAM, Istio integration, and Terraform capabilities.
Kubernetes is one of the most successful orchestration platforms to manage applications.
We mainly use Google Cloud products that are centered around Data Warehouse, specifically BigQuery.
In GCP, there's a custom configuration feature unlike AWS and Azure.
What I like the most about Google Compute Engine is SSH access and the different price categories.
| Product | Market Share (%) |
|---|---|
| Google Cloud | 4.2% |
| Google Compute Engine | 1.2% |
| Other | 94.6% |
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 8 |
| Large Enterprise | 32 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
Google Cloud is an Infrastructure as a Service Cloud (IaaS) and Platform as a Service (PaaS) solution that provides infrastructure tools and services for building applications on top of a public cloud computing platform. As one of the leading global infrastructures, this product allows users to securely manage enterprise data, receive valuable insights, and store documents. Google Cloud provides its various services through tools and services for data warehousing, security key enforcement, application programming interface (API) management, artificial intelligence (AI), and machine learning (ML).
The use cases of Google Cloud can be divided into four main categories:
The solution is utilized by organizations of all sizes and industries, as it is suitable for the following purposes:
Google Cloud Features
Google Cloud offers multiple features for its clients. Some of these include:
Google Cloud Benefits
Google Cloud brings various benefits to its users. Some of these include the following:
Reviews from Real Users
Isuru P., an assistant vice president at a tech services company, likes Google Cloud because it is easy to deploy next-generation applications using it.
An IT solutions consultant at a tech services company rates Google Cloud highly because they find the solution stable with a good user experience and a straightforward setup.
Google Compute Engine delivers virtual machines running in Google's innovative data centers and worldwide fiber network. Compute Engine's tooling and workflow support enable scaling from single instances to global, load-balanced cloud computing.
Compute Engine's VMs boot quickly, come with persistent disk storage, and deliver consistent performance. Our virtual servers are available in many configurations including predefined sizes or the option to create Custom Machine Types optimized for your specific needs. Flexible pricing and automatic sustained use discounts make Compute Engine the leader in price/performance.
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