What is Google Cloud Platform (GCP)? We will explain the features and differences between Azure and AWS!

In recent years, the use of

cloud

services has become commonplace regardless of industry or business type, and many people have probably heard of the term Google Cloud Platform (GCP). GCP is a general term for services provided by Google on the cloud, but I think many people do not know what GCP is or the benefits of using it.

Therefore, in this article, we will introduce an overview of GCP and the situations in which it can be used. We will also explain the use cases of GCP and the benefits of using it, so please refer to it.

What is Google Cloud Platform (GCP)?

First, I will explain the overview of Google Cloud Platform (GCP). As the name suggests, GCP is a general term for services provided by Google on the cloud. By utilizing

the infrastructure

and systems that Google uses internally, users and clients can also move their operations to the cloud.

In GCP, the basic components are made public in advance. By utilizing them, you can speed up development and make operations more efficient.

What can you do with Google Cloud Platform (GCP)?

Up to this point, we have provided an overview of Google Cloud Platform (GCP). GCP supports all types of business. Some examples of what you can do include:

Let’s look at each in turn.

data operation

GCP provides a service called BigQuery. BigQuery is a data analysis and operation tool that can instantly analyze big data, such as several terabytes or petabytes.

BigQuery can also be integrated with Google Analytics 4. As a result, data from Google Analytics can also be analyzed with BigQuery, making it possible to perform cross-platform analysis.

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Demand forecast

GCP has very good AI technology and data processing technology. By using these in combination, it is possible to predict next-generation demand using AI.

game development

By using App Engine, it is possible to develop games with a small number of people and with a small amount of money. It consists of common programming languages ​​such as Node.js, Java, Ruby, C#, Go, and Python, and the development environment is also available on Google Cloud.

Environment that can handle the load

GCP also provides an environment that can withstand sudden loads. Even if the load on access or capacity increases temporarily, the load is distributed and autoscaling is extremely fast.

Work style reform

By utilizing GCP, work style reform can also be realized. By using G Site, you can reduce communication costs and carry out cross-departmental work.

image classification

By using GCP’s Auto ML, you can perform image classification even without specialized machine learning knowledge. Just set a few items intuitively, so you don’t need a lot of man-hours or special knowledge.

Representative examples of Google Cloud Platform (GCP) services

So far, we have explained what you can do with Google Cloud Platform (GCP). Representative examples of GCP services are as follows.

The most familiar one is probably Google Workspace. Google Workspace’s main services include Gmail, Google Drive, and Sheets. By utilizing these, it is possible to reduce running costs and improve operational efficiency.

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Advantages of Google Cloud Platform (GCP)

There are five benefits of using Google Cloud Platform (GCP):

Let’s look at each in turn.

network speed is fast

GCP uses a network environment developed independently by Google. Therefore, it has the advantage of fast network speed. In addition, if the global IP

address

is the same, it can be accessed from multiple locations.

Infrastructure environment is stable

GCP has fast automatic scaling and fast

server

startup, so the infrastructure environment is stable. It is designed to handle temporary large amounts of traffic, ensuring stable communication even when the server is under load.

Feel safe in terms of security

GCP has obtained third-party certification called “FIPS 140-2.” It maintains a high level of security in data communication, sending and receiving, and has the advantage of providing peace of mind in terms of security.

Full range of data analysis services

GCP is fully equipped with data analysis services such as TensorFlow and BigQuery. Analyzing data manually or across multiple platforms is time-consuming and costly. However, with GCP, data analysis is completed within the platform provided by Google, which has the advantage of minimizing labor and time costs.

Reasonable price plan

GCP has the advantage of having reasonable pricing plans. There is no need to pay upfront, and it is a pay-as-you-go system, so you only pay for what you use. Therefore, it is recommended not only for large companies but also for small and medium-sized enterprises that have difficulty investing a large budget.

Google Cloud Platform (GCP) and other differences

So far, we have explained the benefits of Google Cloud Platform (GCP). In addition to GCP, there are other cloud services such as AWS and Azure, but many people would like to know the differences between them. Please see the table below for the differences.

	GCP	AWS	Azure
Provided by	Google	Amazon	Microsoft
overview	Generic name for cloud services provided by Google	Cloud services that have gained the world’s largest share	Built on Windows
Strengths	Skilled in AI development and data analysis	Many uses	Highly compatible with Microsoft products
Price plan	Pay-as-you-go system	Pay-as-you-go system	Pay-as-you-go system

While GCP is good at data analysis, AWS is versatile. Therefore, these two services should be considered depending on the usage scenario. On the other hand, Azure is provided by Microsoft and has high compatibility with Microsoft products. Therefore, if you use Microsoft products on a daily basis, consider Azure first.

All services are pay-as-you-go, and do not require large costs. First of all, it would be a good idea to consider the services you want to use depending on your company’s services and objectives.

When should you use Google Cloud Platform (GCP)?

Up to this point, we have provided an overview of Google Cloud Platform (GCP). Finally, I would like to introduce two situations in which you should use GCP.

I will explain each in turn.

If you want to perform access analysis

GCP is good at data analysis using AI, so if you want to perform access analysis, be sure to use it actively. In particular, by linking BigQuery and GA4, you can perform more advanced access analysis, and if necessary, by linking with Google Data Portal, anyone can create reports that make it easy to visualize access.

If you want to improve work efficiency

Even within GCP, you can improve your work efficiency by using Google Workspace. Most of the content that was previously exchanged offline on paper will be able to be transferred to the cloud on GCP.

summary

In this article, we explained Google Cloud Platform (GCP). GCP is a general term for services provided by Google on the cloud, and representative examples include BigQuery and Google App Engine. By using GCP, you will be able to perform data operations and demand forecasting, which will allow you to further promote

your marketing

activities.

If you want to implement data analysis or work style reform, why not actively consider using GCP?