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. Google’s Spanner, for example, can replicate data between regions; Google states its multi-region instances offer 99.999% availability.

These databases are constructed from the ground up to flourish in the cloud, unlike conventional databases, which were designed for on-premise environments but can struggle to adapt to the cloud’s dynamic nature.

• High scalability, availability, and cost efficiency are their defining traits.
• Alguns produtos famosos nesta categoria são Amazon DynamoDB, Google Cloud Spanner e MongoDB Atlas.
• Bancos de dados nativos da nuvem devem ser usados quando seus aplicativos exigem alta escalabilidade, você lida com grandes quantidades de dados ou deseja minimizar os custos operacionais.

The main difference is based on scale, architecture, and what approaches are 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 struggle to adapt to the cloud’s dynamic nature.

Nativo da nuvem databases 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 low operational overhead are some of the perceived benefits of products in this category. Cloud-native databases can rapidly scale out or in, depending on response to load conditions, which helps avoid taking the database offline. Some separate compute from storage: Microsoft’s Azure SQL Database Hyperscale lets you scale storage (up to 128 TB) independently of compute (Microsoft).

Os serviços de pagamento conforme o uso oferecem pagamento flexível com base no uso, enquanto os serviços totalmente gerenciados podem ajudar a reduzir a necessidade de configuração e manutenção manuais.

The main issues are cloud vendor lock-in, data migration, and o competências needed to deploy and manage these databases.

It is crucial to consider how easily you can move the data if migration becomes necessary, and to have a clear idea of o seu database management experience or whether you will rely on managed services.

Notable examples span relational and NoSQL designs:

• Amazon DynamoDB: A NoSQL database used for high-performance applications that require flexibility in data modeling.
• 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. Google lists 99.999% availability for multi-region instances, 99.99% for regional ones (Google Cloud).
• MongoDB Atlas: A document-oriented database offered as a managed cloud service (database-as-a-service), designed for both flexibility and scalability.
• Azure Cosmos DB: This is a type of database that is hosted in the cloud and can work with data models including document, key-value, graph and table (Microsoft).

Setor use cases include e-commerce platforms, gaming applications, and IoT devices.

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

Nativo da nuvem bancos de dados são projetados para o ambiente de nuvem. Embora possam oferecer vantagens sobre os tradicionais ou Soluções SaaS regarding scalability, flexibility, and cost-efficiency, these benefits depend on the workload.

If your needs are relatively basic, and your demands can be easily predicted, then a SaaS solution may 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.