What is a cloud native database?

Cloud native database is a service that is built, deployed and distributed through a cloud platform. As a cloud platform, cloud-native databases are distributed in the form of PaaS, often referred to as DBaaS; users can use the platform for a variety of purposes, such as storing, managing, and retrieving data.

What is a cloud native database?

Simply put, a cloud native database is a service that is built, deployed and distributed through a cloud platform. This cloud-native attribute is its biggest feature compared to other types of databases. As a cloud platform, cloud-native databases are distributed in the form of PaaS (Platform as a Service, Platform-as-a-Service), and are often called DBaaS (Database as a Service, DataBase-as-a-Service). Users can use the platform for multiple purposes such as storing, managing, and extracting data.

Cloud native databases are usually implemented by installing database software on cloud infrastructure. This approach enables cloud native databases to have direct access and runtime scalability that traditional databases do not have. As the importance of cloud-native data and massive computing continues to grow, there is greater emphasis than ever on deploying this service to provide enterprises with enhanced reliability and scalability.

Advantages of cloud-native databases

• Disposability Simply speaking, disposability means that the database can be processed without prior notice. The ability to handle crashes or start processes on the fly. Despite the current advanced technology, disk failures, network isolation failures, and virtual machine abnormalities are still inevitable.

• With traditional databases, these failures are especially harmful, because with a single machine running the entire database, even a small problem can affect all functionality. Cloud-native databases are designed for significant disposability, allowing virtual machines to be restarted or rescheduled at a moment's notice. In effect, disposability extends from individual virtual machines to the entire data center. As our environments continue to evolve toward more stability, cloud-native databases will evolve to be impervious to such failures.

• Enhanced Security DBaaS runs in a highly monitored and secure environment, protected by anti-malware, anti-virus software and firewalls. In addition to around-the-clock monitoring and regular software upgrades, cloud environments provide additional security. In contrast, traditional databases are susceptible to data loss and unrestricted access. Based on the data capabilities provided by the service provider through instant snapshot copies, users can achieve the goal of "RPO=0, RTO

• Scalability The ability to scale on demand at runtime is a prerequisite for the growth of any business. Because this capability allows enterprises to focus on pursuing business goals without worrying about storage space limitations.

• Unlike traditional databases, which store all files and resources on the same host, cloud-native databases not only allow you to store in different ways, but are not affected by storage issues .

• Better Accessibility One of the most important limitations of a traditional database is that it can only be accessed by connecting to the database system itself. The cloud native database provides round-the-clock access to the database so that you can make any modifications at any time, and you only need a computer with access to the Internet. This eliminates potential delays that could occur while also opening up avenues for collaboration between multiple developers.

• Significant Cost Savings Building a data center is an independent and complete project that requires a large investment in hardware and well-trained operators who can reliably manage and maintain the data center. maintenance personnel. Additionally, ongoing operations and maintenance can put a considerable strain on your finances. Using a cloud-native DBaaS platform, you can get a scalable database at a lower upfront cost, which can free up your hands and achieve more optimized resource allocation.

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