Top considerations for cloud-native databases and data analytics
Across industries, cloud-native applications can help organizations differentiate themselves to gain a competitive advantage. Organizations use cloud-native applications to deliver mobile services, support e-commerce, analyze business metrics, and apply artificial intelligence (AI) and machine learning (ML) to business operations.
All of these use cases rely on data to deliver business value, and databases and data analytics capabilities are an integral part of cloud-native applications. Consequently, databases and data analytics workloads must share many of the same characteristics as the applications they support. They must:
- Be designed in a manner that allows rapid deployment, updates, and changes.
- Scale elastically to meet changing demand.
- Run consistently across datacenter, cloud, and edge IT infrastructure.
