What is Cloud Database? (Advantages & Disadvantages) 7 Popular Cloud Databases
A cloud database is stored and accessed over the internet, rather than being installed on a local server or computer. Here, we’ll discuss its advantages, disadvantages, what are most popular cloud databases and why we need it?
What is cloud database?
A cloud database is a type of database that is hosted on a cloud computing platform, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. This means that the database is not stored on local servers or hardware, but is instead accessed and managed over the internet. Cloud databases offer several advantages over traditional on-premises databases, including increased scalability, flexibility, and reliability.
Cloud databases can be accessed and managed by users and applications from anywhere, as long as they have an internet connection. This makes them ideal for organizations that need to manage large amounts of data, or that need to access their data from multiple locations. Cloud databases are also typically more reliable and scalable than on-premises databases, since they are managed by cloud service providers that have the expertise and resources to ensure high availability and performance.
Why We Need Cloud Database?
There are several reasons why organizations may need a cloud database, including the following:
To increase scalability:
Cloud databases are highly scalable, which means that they can easily handle large amounts of data and support a large number of users and applications. This is particularly useful for organizations that experience sudden spikes in traffic or data volume.
To improve flexibility:
Cloud databases are highly flexible, which means that organizations can easily add or remove resources as needed. This is particularly useful for organizations that need to be able to quickly adapt to changing business needs or requirements.
To enhance reliability:
Cloud databases are typically more reliable than on-premises databases, since they are managed by cloud service providers that have the expertise and resources to ensure high availability and performance.
To reduce costs:
Cloud databases can help organizations to reduce costs, since they do not require the upfront investment in hardware and infrastructure that on-premises databases do. Additionally, organizations only pay for the resources they use, which can help to control costs and avoid overspending.
To support remote access:
Cloud databases can be accessed and managed by users and applications from anywhere, as long as they have an internet connection. This is particularly useful for organizations that need to access their data from multiple locations or that have a distributed workforce.
Popular Cloud Databases
There are several popular cloud databases available, each with its own strengths and use cases. Here is a list of some of the most widely used cloud databases:
Amazon Relational Database Service (RDS)
Amazon RDS is a fully managed database service that makes it easy to set up, operate, and scale a relational database in the cloud. It supports a variety of database engines, including MySQL, PostgreSQL, and Oracle.
Google Cloud SQL
Google Cloud SQL is a fully managed database service that makes it easy to set up, operate, and scale a MySQL database in the cloud. It offers high performance, scalability, and security.
Azure SQL Database
Azure SQL Database is a fully managed database service that makes it easy to set up, operate, and scale a relational database in the cloud. It supports a variety of database engines, including SQL Server, MySQL, and PostgreSQL.
MongoDB Atlas
MongoDB Atlas is a fully managed database service that makes it easy to set up, operate, and scale a MongoDB database in the cloud. It offers high performance, scalability, and security.
Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service that makes it easy to set up, operate, and scale a non-relational database in the cloud. It offers high performance, scalability, and reliability.
Google Cloud Firestore
Google Cloud Firestore is a fully managed NoSQL database service that makes it easy to set up, operate, and scale a non-relational database in the cloud. It offers real-time updates and offline support.
Azure Cosmos DB
Azure Cosmos DB is a fully managed database service that makes it easy to set up, operate, and scale a NoSQL database in the cloud. It offers a variety of data models and APIs, including support for MongoDB, Cassandra, and Azure Table Storage.
Ultimately, the best cloud database for your use case will depend on your specific requirements, such as the type of data you are storing, the performance and scalability needs of your application, and your budget.
Cloud Database Advantages
- Increased scalability: One of the main benefits of using a cloud database is that it is highly scalable, which means that it can easily handle large amounts of data and support a large number of users and applications.
- Improved flexibility: Cloud databases are highly flexible, which means that organizations can easily add or remove resources as needed. This allows them to quickly adapt to changing business needs and requirements.
- Enhanced reliability: Cloud databases are typically more reliable than on-premises databases, since they are managed by cloud service providers that have the expertise and resources to ensure high availability and performance.
- Reduced costs: Cloud databases can help organizations to reduce costs, since they do not require the upfront investment in hardware and infrastructure that on-premises databases do. Additionally, organizations only pay for the resources they use, which can help to control costs and avoid overspending.
- Support for remote access: Cloud databases can be accessed and managed by users and applications from anywhere, as long as they have an internet connection. This is particularly useful for organizations that need to access their data from multiple locations or that have a distributed workforce.
Cloud Database Disadvantages
While there are many benefits to using a cloud database, there are also some disadvantages that organizations should consider, including the following:
- Security concerns: One of the main disadvantages of cloud databases is that they may raise security concerns, since the data is not stored on local servers or hardware. Organizations need to carefully consider the security measures and policies of their cloud service provider to ensure that their data is protected.
- Dependence on internet connectivity: Cloud databases require an internet connection to be accessed and managed, which means that organizations may not be able to access their data if there is an internet outage or other connectivity issues.
- Limited control: Since cloud databases are managed by a third-party cloud service provider, organizations may have limited control over their data and how it is accessed and managed.
- Potential vendor lock-in: Organizations that use a cloud database may be dependent on their cloud service provider, which can create vendor lock-in and limit their ability to switch to another provider in the future.
- Compliance issues: Organizations that are subject to regulatory or compliance requirements may face challenges when using a cloud database, since they need to ensure that their data is handled and stored in a compliant manner.

More to read
- Relational Database Benefits and Limitations
- Relational Vs Non Relational Database
- 13 Examples of Relational Database
- Relational Database Vs. Object-Oriented Database
- 9 Types of Databases
- Distributed Database
- Operational Database
- Personal Database
- Centralized Database