The Foundation for Cloud Processing
September 28, 2019
The Foundation for Cloud Processing
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google Compute Engine
Google Compute Engine is used for a variety of workloads. Its use is growing as larger parts of the organization start embracing cloud computing.
- Internal applications.
- Tools.
- QA and testing environments.
- Production deployment.
- Experimentation with new technologies.
- Migration from datacenter to cloud environments.
- Training environments (they can be easily created and then deleted after the training).
- Business processing.
- Data processing and pipelines (in combination with various other products available in Google Compute Platform (GCP).
- Easy and fast creation of the resource.
- Rich ecosystem of tools and cloud technologies.
- Ability to scale up and down, based on the needs.
- Better documentation.
- Up to date documentation.
- Capabilities on par with AWS.
- Dynamic allocation of computing when we need them.
- Faster experimentation.
- Reduced time troubleshooting.
- Amazon Elastic Compute Cloud (EC2)
Google Compute Engine has similar capabilities and features as Amazon EC2. Their ecosystems differ, and Amazon has a lead in more innovative products, but Google is working on closing the gap. If sticking to the essential functionality of computing, Google Compute Engine and Amazon EC2 are practically interchangeable; we run workloads on both. We appreciated the more cost-effective solution offered by Google Compute Engine for our use cases.
Do you think Google Compute Engine delivers good value for the price?
Yes
Are you happy with Google Compute Engine's feature set?
Yes
Did Google Compute Engine live up to sales and marketing promises?
Yes
Did implementation of Google Compute Engine go as expected?
Yes
Would you buy Google Compute Engine again?
Yes