The challenge of many of today's companies is the migration of your data centers to the cloud. Having these infrastructures, platforms or software systems allows users to access their data through the Internet, without having to download additional software. As well as running the workloads within a cloud-only environment.
AWS and Google CloudPlatform They are two of the most important cloud services in the world, and in this post we will focus on explaining how each one works, the benefits and the differences between them.
What is AWS?
Amazon Web Services (AWS) is a cloud service provider, which allows us to have storage, computing resources, mobile applications and/or databases in cloud computing.
It works with a monthly subscription to AWS, which allows connect to servers, databases, services where information is processed that is needed, instead of having to invest in expensive and powerful computers.
This type of resource has many advantages both for SMEs and companies that are young and cannot afford to invest massively in infrastructure, as well as for larger ones that, despite having infrastructure, choose to work independently. flexible, scalable, secure and cost-effective. Since, for example, it allows it to be translated into a variable cost that only increases if they require more capacity, that is, if the business grows or decreases in the face of any eventuality.
What is Google Cloud?
Google Cloud (also known as Google Cloud Platform or GCP) is a provider of cloud computing resources used to develop, implement and operate applications on the web.
act like a complete infrastructure with a series of functions and tools that allow companies to manage and complete digital security, obtaining more efficient management.
Google CloudPlatform has more than 100 products and services dedicated to new opportunities in infrastructure, analytics, ML/AI, and business solutions. These and other functions provided by the platform, collaborate with companies making them more scalable.
KEY DIFFERENCE: Google Cloud vs AWS
Google Cloud (GCP) and Amazon Web Services (AWS) are two powerful providers of cloud services that offer a range of computing solutions, and where the common thing is pay only for the use of cloud services.
Below is a table of differences between Google Cloud and Amazon Web Services:
| Main differences | GCP | aws |
|---|---|---|
| Cost | Google's free levels they have no time limit | Amazon free tiers have a maximum validity of 12 months and subsequent charges based on usage |
| Computing Service | Compute Engine (IaaS), App Engine (PaaS), Kubernetes Engine (container), Cloud Functions (serverless functions), Microservices and Google APIs | Amazon Elastic Compute Cloud (IaaS), Elastic Beanstalk (PaaS), Elastic Compute Cloud Container Service (container), AWS Lambda (serverless functions) |
| database services | Google Cloud SQL (RDBMS), Google Cloud Datastore, Google Cloud Bigtable (NoSQL key-value), Google Cloud Datastore (NoSQL: indexed), Firebase, Cloud Spanner | Amazon Relational Database Service (RDBMS), Amazon DynamoDB (key-value NoSQL), Amazon SimpleDB (indexed NoSQL), Amazon Aurora |
| storage services | Google Cloud Storage (object storage), Google Compute Engine persistent disks (block storage), ZFS / Avere (file storage), Google Cloud Storage (cold storage) | Amazon Simple Storage Service (object storage), Amazon Elastic Block Store (block storage), Amazon Elastic File System (file storage), Amazon Glacier (cold storage) |
| network services | Virtual private cloud, Cloud Load Balancer, Google Cloud Interconnect, Google Cloud DNS, Own infrastructure | Amazon Virtual Private Cloud, Elastic Load Balancer, Direct Connect, Amazon Route 53 |
| Management services | Stackdriver Monitoring (monitoring), Google Cloud Deployment Manager (deployment) | Amazon CloudWatch (monitoring), AWS CloudFormation (deploying) |
| AI/ML Support | Cloud Machine Learning Engine, Dialogflow Enterprise Edition, Cloud Natural Language, Cloud Speech API, Cloud Translation API, Cloud Video Intelligence, Cloud Job Discovery | SageMaker, Comprehend, Lex, Polly, Rekognition, Machine Learning, Translate, Transcribe, DeepLens, Deep Learning AMI, Apache MXNet, TensorFlow |
| Instance customization | Google Cloud Platform provides a wide range of customization for any instance | AWS offers a limited customization |
Google Cloud offers paid billing models per second that allow users save money much more than with AWS or Azure. Google also offers several discounts to help customers save up to 50 percent in some cases compared to AWS, allowing users to take advantage of these technology solutions and adapt them within their operations and/or processes to improve their automations and be more efficient.
Why AWS?
Depending on the needs of each user, both cloud providers have a series of advantages and benefits to highlight. Here we share the ones from AWS:
Amazon Web Services (AWS) is Easy to use, has an adapted design so that users can quickly host their applications.
It is flexible since it allows you to select the services that are necessary, such as the operating system or the databases.
Secure infrastructure, including physical, operational and software measures.
Scalability and performance thanks to the tools provided by AWS, which allow the application to scale up or down on demand.
Why Google Cloud?
These are the main advantages and benefits of choosing Google Cloud Platform as a cloud provider:
GCP frees users from operating expenses related to infrastructure management, server provisioning, and network configuration. Thus, the innovators and programmers of your company can dedicate themselves to the specific tasks of their function.
Enables data-driven transformation to be leveraged as it is unmatched in terms of speed, scale and security.
Google Cloud is the most secure platform From the market. Security is delivered through progressive layers that make up a true defense system at scale.
The price Of all its services it is the most competitive compared to the competition.
With GCP you can migrate the data in real time to virtual machines with automatic backups.
Google Big Query is a key GCP data warehousing tool, solving the problem of not having the necessary infrastructure to host, organize, and analyze large amounts of data.
AWS Features
Some of the most important features of Amazon Web Services (AWS) are:
It offers centralized billing and management.
Offers hybrid capabilities.
It allows you to deploy your application in various regions of the world.
Offers cloud-based disaster recovery services.
It has much more time in the market offering services in the cloud.
Google Cloud Features
Some of the most important features of Google Cloud Platform (GCP) are:
It constantly includes more languages and operating systems.
A better user interface that helps improve the user experience.
Offer self-service on demand.
Wide network access.
Resource pooling and rapid elasticity.
Competitive prices compared to other cloud services.
It offers out-of-the-box DRP or backup services.
Inefficient documentation.
It allows you to deploy your application in various regions of the world.
AWS vs. Google Cloud Platform (GCP)
| Main differences | GCP | aws |
|---|---|---|
| Release date | 2015 | 2018 |
| Billing Type | Direct and transparent; through partners or directly with Google | Full visibility in direct contracting, opaque through partner |
| Private network | Google has the largest fiber optic network interconnecting all the regions of its cloud | Mainly uses public networks |
| Security | It maintains a model of shared responsibility but establishes immovable minimums (encrypted information at all times) | Maintains a model of shared responsibility without restrictions, which can generate risks under certain conditions |
| Learning curve | Fast (lots of documentation and easy to adopt services) | Medium (lots of documentation, larger user community) |
How to choose your cloud?
- Security: It is essential that the cloud provider offers security measures, since companies that are going to migrate data to the cloud must be protected from potential cybersecurity threats and incidents. Therefore, it is necessary to check what kind of protection the cloud service provider offers.
- Scalability: It is very important to know what computing power the cloud provider offers, for the scalability of the technological solutions that are intended to be housed in its infrastructure, according to the requirements demanded by the operation, thus providing reliability for the acquisition of the service.
- SLAs: They are necessary not only to define how customer data is processed and hosted, but also to define the level of service transparency that the customer can expect from the cloud service provider. Helps define expectations and outcomes of service delivery.
- Location: Geographic distribution is important to distribute risks, especially in relation to natural disasters, as well as to meet regional eligibility requirements for data location. For example, in some areas there are requirements that data does not go beyond region boundaries, requiring the service provider to have physical facilities in the region.
- Support and support: See the care of technical support and technical documentation on the technologies offered. It may be that the company needs it at any time. Flexibility to deal with unexpected events is essential and should definitely influence the choice of the most helpful and efficient service provider.
As we have seen, the cloud computing market is on the rise and the leaders that have the highest percentage of spending on cloud infrastructure are Google CloudPlatform Y aws. It's important to understand how each cloud approaches your business, to better tailor its use to your own company's needs. If you want to know more about the cloud services and benefits, write to us and our specialists will contact you.
