• Database Storage

    • Database storage requires consistent and predictable low latency to meet the SLAs and demands of the business and its mission-critical applications. Database storage needs scale-out and provides copy data management capabilities to provision and repurpose database copies on-demand with effective lifecycle automation.

    • Why should I consider database storage?

      Architecting, deploying, and maintaining traditional storage typically requires significant planning to ensure performance and capacity requirements are met. Database storage provides all-flash storage with unique data protection that results in optimal storage capacity and performance.

      Database Administrators (DBAs) have always needed to strike a balance between the need for additional database copies and the impact that making brute force copies will have on their production workloads. Database storage eliminates the impact of copy creation and lets DBAs provide copies as needed to meet the needs of the business.

      Next generation database platforms try to address traditional complexities unsolved by Relational Database Management Systems, like unstructured data and object-oriented architecture. Database storage solves this through a scale-out architecture that enables consolidation of non-production and production environments to accelerate agile application development.

      How does database storage work?

      Leveraging content-based addressing and unique data protection, database storage takes advantage of the reliability of eMLC drives. It provides the most optimal platform for even distribution of performance and capacity for production and repurposed database copies.

      Inline data services combined with granular metadata enables database storage to quickly and easily create additional database copies without impacting production workloads or increasing physical storage requirements.

      Thin provisioning coupled with non-disruptive expansion results in reduced just-in-time provisioning of storage capacity to handle the growth of datasets in a consolidated infrastructure.

      What are the benefits of database storage?

      Database storage reduces latency to a sub-millisecond response time and allows applications to perform as they are intended with slower growth rates due to inline data reduction capabilities and architecture, which scales out to meet demands.

      Repurposing databases for reporting and analytics as well as application testing and development on traditional storage can be time consuming and effect production workloads. Database storage allows for instantaneous database copies that can be repurposed for a wide variety of use cases, including testing dev copies in production for quicker iterations and faster time to value.

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