Cloud Databases…
In here we are going to look at all about Cloud databases.
What is a cloud database?
A cloud database is a type of database service that allows users to
store, manage and access data, over the internet, rather than on premises.
It is hosted and managed by a cloud provider, which is a company that
offers cloud based services and infrastructure. The provider is responsible for
maintaining the servers, storage and network infrastructure that the database
runs on.
Cloud database offers a wide range of options and features such as
different database management systems, different levels of performance and
security. This allows users to choose the database that best suits their needs.
Key Features of a cloud database….
· 1. A database service built
and accessed through a cloud platform.
This differs from traditional on premises databases, which are hosted and managed by the user on their own physical servers and infrastructure.
· 2. Accessed through a web interface or vender provided API.
This means the way in which users interact with a cloud database service.
A web interface is a graphical user interface that can be accessed through a web browser. It typically provides a user friendly way to interact with the database, allowing users to perform tasks such as creating, modifying and querying data, as well as managing users and permissions.
Both the web interface and API allow access and manipulate data stored in the cloud database, but they offer different ways to interact with the services.
A web interface is often more user friendly, while an API is more flexible and can be integrated with other systems and applications.
· 3. Enables enterprise users to host databases without buying dedicated hardware.
The cloud databases allow organizations especially, enterprise level companies to host their databases without the need to purchase, maintain and manage their own physical servers and storage systems. Instead the cloud provider manages and maintains the underlying hardware and software, enabling enterprise users to access the database over the internet.
· 4. Can support relational
databases including MYSQL and NoSQL databases including MongoDB and Apache
CouchDB.
The cloud database services can support a wide range of different types of databases including both relational and NoSQL databases.
The relational databases are designed to handle large amounts of data with complex relationships and are well suited for use cases such as e-commerce and financial applications.
The non-relational databases are not using SQL language and they are designed to handle large amounts of unstructured data and are well suited for use cases such as real-time analytics and content management systems.
The ability to support both relational and NoSQL databases allows cloud database services to offer a wide range of options to its users, allowing them to choose the database that best suits their needs.
This can be useful for organizations that have different types of data and different use cases or that want to use different databases for different parts of their applications.
Usage of Cloud databases…
Cloud databases are used in many different industries and applications. They
are particularly popular in the software development industry, as they offer
scalability, flexibility, and reliability. Cloud databases are also used in web
and mobile applications, data analysis, content management systems, machine
learning, and artificial intelligence. Additionally, cloud databases are often
used by businesses to store and manage large amounts of data in a secure and
cost-effective manner.
Watch below video to get know more about the usage of cloud databases.
Cloud databases Vs Traditional databases…
In here we are going to look at about some of the differences between
cloud databases and traditional databases.
Cloud Databases |
Traditional Databases |
LAN Access |
WAN
Access |
You build security / less security |
Centralized, Built-in
security / high security |
Query only |
Event
Driven Push |
Desktop Apps |
Mobile Apps |
Enterprise Scale |
Internet
Scale |
Manual Upgrades |
Automated Upgrades |
Manual tuning and Backups |
Automatic
Tuning and Backups |
Advantages and Disadvantages…
Advantages |
Disadvantages |
Reduced operational overhead |
Data
loss or theft |
Improved agility and scalability |
Data leakage |
Lower total cost of ownership |
Account
or service hijacking |
Flexible database options |
Insecure interfaces and
APIs |
Safe and secure data |
Denial
of service attacks |
Better reliability |
|