Google Compute Engine and DigitalOcean compete in the cloud service provider sector. Google Compute Engine is favored for its advanced features and flexibility, whereas DigitalOcean is preferred for its simplicity and ease of use.
Features:Google Compute Engine offers custom virtual machine configurations, auto-scaling, and managed instance groups. It provides robust documentation and flexible infrastructure capabilities. On the other hand, DigitalOcean is known for its user-friendly interface, simplicity in setup, and straightforward platform that supports smaller businesses and developers.
Room for Improvement:Google Compute Engine requires improvement in security complexity, deployment interface, and user support. Its configuration settings need simplification. DigitalOcean faces challenges with droplet stability, network latency, and needs to enhance technical support. Users also desire additional features, particularly for ETL processes.
Ease of Deployment and Customer Service:Google Compute Engine is flexible in deployment but faces mixed reviews for technical support effectiveness. Its public cloud deployment is praised, yet support reliability is a concern. DigitalOcean offers an easy and straightforward deployment process, but like Google, requires improvement in support for complex problems.
Pricing and ROI:Google Compute Engine employs a competitive pay-as-you-go model, with notable ROI through cost savings and improved performance. Some users, however, find it costly compared to Microsoft Azure. DigitalOcean provides affordable low-cost packages, yet some users feel its feature set does not fully justify the price. Both platforms can improve ROI when effectively integrated into business strategies.
DigitalOcean support is rated lower than AWS's because we encounter issues more frequently.
I have not tried vertical scaling yet, but from the documentation, it seems very easy to scale the system.
DigitalOcean is quite stable, and I would rate its stability at nine out of ten.
It is approximately 50 to 60% stable, reaching 60 to 70% depending on usage levels.
The lack of a proper service provider model ultimately led us to cease operations with DigitalOcean.
There are issues where even with 8 GB RAM, the performance doesn't meet expectations.
DigitalOcean could offer a pay-as-you-go model similar to AWS, where I would pay for what I use rather than having fixed payments.
DigitalOcean offers affordable pricing, especially for startups.
The droplet feature is valuable for hosting my applications as it is particularly cost-effective and serves my needs well.
Some customers had compliance issues with Microsoft that did not exist in DigitalOcean, which provided more flexibility to use the solution.
The most significant aspect is that we can connect directly to the system from anywhere.
In GCP, there's a custom configuration feature unlike AWS and Azure.
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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