Currently, both google with ?Google CloudPlatform? What Microsoft with ?Azure?, provide various solutions in the cloud. In both cases, these solutions are focused on diverse audiences, whether they are small or large organizations.
among the best alternatives to microsoft azure, Google Cloud Platform is found as the main competitor, and tBoth of one and the other we can find guides and documentation for the various situations that may arise.
The strongest point of Google is the Easy to use that the platform offers thanks to its friendly UI, which allows not only the technicians to be the ones who can deploy the different applications. From the comfort of the interface we can, for example, create a virtual machine in a few steps and assign the configurations we need, CPU, RAM, disks, etc. We can also create buckets in Cloud Storage in just 2 clicks, to be able to store all our files.
The remarkable thing is that the aforementioned and the vast majority of tools have this benefit, but we can also do it through CLI, giving the possibility of having the commands ready to execute and make these routine tasks faster.
As if that were not enough, Google offers us a code editor, simultaneously with the console integrated into the browser, where we can navigate between the files that we have in our GCP user, and modify their content in an interface very similar to VSCode. .
Starting from storage to data processing, computing services to cloud network management, both offer specific modules for each point, each with its respective module, in this case Google once again stands out for its great versatility and integration capacity, either with its own tools or third-party tools.
1. Comparison Google Cloud platform vs Azure
As we mentioned at the beginning of the article, both providers offer cloud solutions for different problems or needs. In the following table we will show some of the alternatives to Microsoft Azure that GCP offers.
| Solution | Microsoft Azure | Google CloudPlatform |
|---|---|---|
| file storage | blob storage | cloud-storage |
| Virtual machines | Virtual Machines | Compute Engine |
| Container Orchestrator | Kubernetes Services | Kubernetes Engine |
| Function as a Service | functions | Cloud Functions |
| DNS | DNS | CloudDNS |
| Load Balancing | load balancer | Load Balancing |
| SQL Databases | Synapse | BigQuery |
| Analysis and visualization | data bricks | clouddataflow |
| containers | Container Instances | Cloud Run |
In a macro view in both cases we can find various solutions among which we highlight:
Virtual Machines
Mount microservices in containers
Kubernetes for cluster orchestras
Structured and unstructured data storage
ETL processes
Monitoring of the tools used
security services
load balancer
User and permission management
Artificial Intelligence and Machine Learning
Control all the changes that happen through Logs
2. 24×7 support
So much Azure What GCP they have a Service support. From the documentation that allows you to have an in-depth understanding of the different tools, to explanatory videos and test laboratories.
There is also teams specialized in different solutions, capable of accompanying from the moment the problem to be solved arises, going through the planning of the architecture, proofs of concept, up to the implementation.
In conjunction with this, they also have the option of providing training for the correct use of the platform, deployment of tools and maintenance.
3. GCP advantages over Azure
Among the advantages that we find in google cloud we highlight:
Pricing: Google charges not only for the active service, but also for the consumption generated by that service. It also allows you to control expenses on a daily basis both at the project level and granularly, thus seeing the consumption for each module in use.
This together with the next point makes GCP the best option.
Auto-scaling: Many of the tools that we can deploy require a VM, among the configurations that may exist, Google offers the ability to raise or lower these resources in relation to the need for computing.
UI/UX: The GCP interface is intuitive, easy to use, and allows for a wide variety of configurations without the need for a high technical level.
Although for more advanced or large-scale solutions you will need specialists, for small projects or tests it will be fine to have only basic knowledge.
Documentation and learning: both written and video documentation is available for each of their tools.
It also has QuickLabs, a platform where there are free courses for the different solutions, which in turn allow you to prepare for the different GCP certifications.
Security: Google does not differentiate between large and small customers when it comes to protecting information.
Regardless of consumption or if it is a small project, it will always be under the greatest care.
4. Conclusions
All cloud companies are constantly working on creating innovative technologies and thus provide new and better functions, so it is common to see that they generate new solutions, and with this the competition in turn ends up developing its own tool focused on the same type of solution.
Microsoft Azure is focused on solutions enterprise level, taking advantage of its Office suite and the immense amount of market it has thanks to this.
Nevertheless, Google have an answer to this with your suite of cloud-based tools. This, added to its great capacity for integration between its tools and those of 3rd parties, makes it position itself stronger day by day as one of the world leaders as a provider of cloud solutions.
