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Cloud Database Software promo code – March 2023

Cloud Database Software

Reliable, cost-effective, and efficient, the cloud database is one of the most widely used cloud services in business today. It allows the storage of data in a secure way in a data center. This outsourcing of data storage is one of the essential steps to gain performance and reduce operating costs.

5 products available
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AWS Activate

Amazon's cloud services platform

Efficiently develop, deploy and maintain high-performance and scalable applications.


$5,000 in AWS credits for 2 years (up to $5,000)
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Google Cloud

Cloud services by Google

Google Cloud helps you accelerate your business transformation by giving you the cloud services you need.


2 deals available - Up to $200,000 in credits for 2 years (up to $200,000)
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Microsoft for Startups

Growth assistance program for startups

With its Startups program, Microsoft gives a boost to startups by offering them free Azure cloud credits.

Up to $120,000 in Azure Cloud Credits (up to $120,000)
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IBM Cloud

Complete cloud platform to manage your data and processes.

With more than 170 products and services, IBM Cloud makes it easy to manage all your business operations from the cloud: database management, AI, blockchain, security, analytics, everything is available and easily integrated.

$1,000/month in IBM Cloud credits for 12 months (up to $12,000)
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Boost your productivity with a database optimized for your applications

mongoDB is the tool that will store all your NoSQL databases so you can spend less time managing your information and more time using it.

$500 in credits for MongoDB Atlas (up to $500)
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About Cloud Database

What is a cloud database?

A cloud database is a collection of computer data that is stored on computer servers. These can incorporate a private cloud, public cloud, or hybrid cloud solution.

Primarily, there are two kinds of cloud databases:

- A traditional database installed and running on a virtual server in the cloud.

- A database as a service or DBaaS

The advantage of a cloud database is that it offers the flexibility that is typical of any cloud service.

Which cloud database is the best?

To find the best database, you must first define your needs. Then, you have to choose your cloud service provider. These are reputable companies that offer DBaaS or Databases-as-a-service, which are easy to use and efficient.

Oracle, for example, offers a powerful storage service. Microsoft Azure is a reference and offers numerous and relevant services. Amazon Web Services DynamoDB will also be a relevant solution to create a relational or NoSQL database.

The key to getting the best database in the cloud is to opt for the one that offers the useful services for the desired use.

How do I choose a cloud database?

First of all, you have to define your needs and list your users to determine the most suitable offer.

However, certain points must be taken into consideration. For example, the performance must be high enough to support the project’s scalability. Then, the automation services are essential to ensure certain tasks such as auto-indexing. To optimize the operation of your IT resources, the cloud database must also have broad software compatibility to ensure smooth operations with the necessary third-party applications.

Data security, but also data privacy, are also two key issues with cloud databases. Data encryption, security updates, as well as in-country data storage are important aspects of selecting a cloud solution.

What are the advantages of using cloud databases?

While it is possible to perform data storage on one’s own infrastructure, it is much more interesting to outsource it to benefit from the infrastructure of a cloud service provider. Indeed, this allows a cost reduction which is far from insignificant. Opting for cloud storage requires fewer employees and reduces the costs of operating electrical systems, heating, or air conditioning.

In addition, it saves time because the service provider takes care of the maintenance of the infrastructure and ensures that the cloud solution is always available. Depending on the needs and evolution of the projects, it is very easy to scale the storage capacity to ensure outstanding scalability and performance

Using the cloud to deploy a database makes sense to reduce costs while improving the efficiency of ongoing projects.

How to build a cloud database?

Creating a cloud storage space is quick. First of all, it is essential to connect to the provider offering the cloud services. This can be for example Microsoft Azure.

Once on the cloud platform, you need to create a database and then name it. At the same time, you need to create a new server and configure it or use an existing server.

The database is of course empty. Therefore, it is necessary to add data manually or to import them from the previous database. Also, it is important to create an IP firewall rule on the server to prevent unwanted connections.

Is SQL a cloud database?

SQL or Structured Query Language is a programming language used by most relational databases. It allows you to interact with the database to add, modify, or delete data.

If relational databases use SQL, we can also note the presence of databases called NoSQL or Not only SQL. This relatively recent evolution of databases allows the manipulation of unstructured or semi-structured data. In addition, the volume of processed data can be much higher than SQL databases and the response time to queries is shorter.

As SQL is a way of classifying information as well as a program language, it can be applied to a physical database or a cloud database. In the same way, it is quite possible to access NoSQL databases physically or in the cloud.

How is data stored in cloud databases?

A database is used to store computer data in a structured manner. This data is organized in tables in the case of a relational database. In the case of non-relational databases, the information is stored in a “key-value” format, it is possible to read, modify, or delete elements at any time.

This applies to both physical and cloud databases. The difference lies in the way the data is accessed. If the data is placed on a physical private server, it is necessary to connect to the company’s local network to access it. In the case of cloud storage, you only need to connect to the internet to access it at any time.