Hybrid cloud storage centralizes data from multiple sources and environments, enhancing capacity and performance by leveraging cloud-native object storage for quick access. It supports critical workloads across on-premise, private, and public clouds.
The growth of data at 40% annually drives the need for hybrid cloud storage to support AI and machine learning applications. Traditional storage solutions face challenges in handling edge computing and AI deployments due to fragmented deployment style.
Hybrid cloud storage provides a centralized approach to managing data from diverse sources and locations, vital for global businesses requiring rapid access to data for AI systems. It offers scalability and performance improvements over traditional storage solutions.
Scalability in on-prem storage typically involves adding physical servers and data migration, unlike the seamless scalability offered by hybrid cloud storage. Leveraging cloud-native object storage, hybrid cloud enables data to be quickly delivered to the edge for enhanced accessibility.
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