O que são bancos de dados nativos da nuvem?

Os bancos de dados nativos da nuvem são criados especificamente para ambientes de nuvem, utilizando a escalabilidade, elasticidade e arquitetura distribuída da infraestrutura de nuvem.

Eles são construídos do zero para prosperar na nuvem, ao contrário dos bancos de dados convencionais, que foram projetados para ambientes locais e muitas vezes lutam para se adaptar à natureza ativa da nuvem.

• Alta escalabilidade, disponibilidade e eficiência de custos são considerações fundamentais para a satisfação do cliente.
• Alguns produtos famosos nesta categoria são Amazon DynamoDB, Google Cloud Spanner e MongoDB Atlas.
• Cloud-native databases should be used where your applications require high scalability, you deal with enormous amounts of data, or you want to minimize operational costs.

The main difference is based on scale, architecture, and the approaches used to achieve availability. Cloud-native databases are designed to add nodes horizontally to achieve high availability and performance in the cloud. Traditional databases, on the other hand, are typically planned for vertical scaling and may fight to adjust to the cloud’s active nature.

Cloud-native data storage can integrate attributes such as a distributed architecture, managed services, and pay-as-you-go pricing, which may contribute to their compatibility with certain modern, cloud-based applications.

Easy scalability, high availability, low costs, and minimal functional overhead are some of the perceived benefits of products in this category. Cloud-native databases can rapidly outscale or downscale in response to load conditions, which means there is rarely a need for databases to be offline. 

Pay-as-you-go services offer flexible payment based on usage, while fully managed services may help reduce the need for manual configuration and maintenance.

Emerging issues operating key issues are interrelated, and they include vendor lock-in, data migration, and skills to deploy and manage these databases.

It is crucial to consider how effortless it is to move the data in case possible difficulties appear in data migration and to have a clear idea of the database management experience or the possibility of addressing managed services.

Exemplos notáveis incluem:

• Amazon DynamoDB: Um banco de dados NoSQL é frequentemente usado para aplicações de alto desempenho que requerem flexibilidade na modelagem de dados.
• Google Cloud Spanner: Ele aproveita uma arquitetura distribuída em vários locais em seu banco de dados relacional, visando atingir simultaneamente a consistência de dados e a disponibilidade do serviço.
• MongoDB Atlas: Um banco de dados orientado a documentos projetado para flexibilidade e escalabilidade, normalmente usado em ambientes baseados em nuvem.
•  Azure Cosmos DB: Este é um tipo de banco de dados que é hospedado na nuvem e pode trabalhar com diferentes modelos de dados e protocolos.

Industry utilization cases involve e-commerce platforms, gaming applications, and IoT devices.

Use cloud-native databases when your applications need to be highly scalable and available when you will process a large amount of data, when you want to spend minimal time on operations, or when creating new applications cloud-native.

Cloud-native databases are designed for the cloud environment. While they may offer advantages over traditional or SaaS solutions regarding scalability, flexibility, and cost-efficiency, these benefits may not be fully realized in the long run.

If your needs are relatively basic, and your demands can be easily predicted, then a SaaS solution would be the best place to start. Nevertheless, when your application gets more complicated and your company needs more independence and customization, a cloud-native database may be the best solution.