Types of cloud databases
Like traditional local databases, cloud databases can be divided into relational databases and non-relational databases database on cloud
A relational cloud database consists of one or more list and row tables, allowing you to organize data according to predefined relationships to understand the logical relationship of the data. These databases typically use a fixed data schema, and you use Structured Query Language (SQL) to query and manipulate the data. They are highly consistent, reliable, and best suited for processing large amounts of structured data.
Examples of relational databases include SQL Server, Oracle, MySQL, PostgreSQL, Spanner, and Cloud SQL.
Non-relational cloud databases store and manage unstructured data such as email and mobile message text, documents, questionnaires, rich media files, and sensor data. They do not follow a well-defined schema like relational databases and allow you to save and organize information regardless of its format.
Examples of non-relational databases include MongoDB, Redis, Cassandra, Hbase, and Cloud Bigtable.
Why use cloud database?
Today, the amount of data generated and collected is growing exponentially. Not just diverse, but completely different. Data can now be stored in local databases as well as distributed cloud applications and services, making it difficult to integrate using traditional methods. Additionally, real-time data processing is critical to business success—delays in data transfer for mission-critical applications can have catastrophic consequences.
As cloud adoption accelerates and the way we use data continues to evolve, traditional databases face significant challenges.
Cloud databases offer advantages such as flexibility, reliability, security, and affordability. Build a solid foundation for building modern business applications. Specifically, they can quickly adapt to changing workloads and demands without further increasing the workload on already overstretched teams.
Advantages of cloud database
Reduce operating expenses
Cloud databases eliminate the management and maintenance of any physical infrastructure. Your cloud provider is responsible for configuring, updating, and maintaining all hardware, operating systems, and database software.
Improve agility and scalability
You can start a new cloud database or deactivate a cloud database in minutes. This way, you can test, implement, and validate new ideas faster. Additionally, cloud databases can dynamically scale up and down as applications grow and provide consistent performance under high load.
Reduce total cost of ownership (TCO)
Cloud service providers own and operate the infrastructure, allowing teams to focus on building applications. Additionally, with pay-as-you-go plans, you can provision the resources you need on demand and scale them up or down based on your usage.
Flexible database options
You can choose a specially built cloud database based on specific usage scenarios and application requirements, with functions and performance levels that meet your needs.
Data is safe and reliable
Cloud service providers invest in advanced technology and experts to provide multiple layers of protection and centralized security policies to help protect customer data without slowing down innovation.
better reliability
Cloud platforms, including cloud databases, have many built-in features designed to maintain stable connections and meet service level agreements (SLAs), including high availability, automated backups, and robust disaster recovery capabilities.
Things to note about cloud databases
While the benefits of cloud databases can help organizations address many of the modern barriers to growth and digital transformation, there are some common cloud database considerations to keep in mind when planning a move to the cloud.
Vendor lock-in
Difficulty integrating data with other systems
Complex and lengthy migration
Underestimating cloud costs
Possibility of connection interruption
Cloud security issues
The above are not necessarily disadvantages of cloud databases, but factors that should be carefully weighed when choosing a cloud service provider. You need to take the time to evaluate the best cloud database and service model to meet your specific business needs.