Cloud Database Virtualization

  • Headquartered In: North America, United Kingdom, Netherlands, Belgium, Denmark, Luxembourg, Israel
  • Company Size: $500M+ in Annual Revenue
  • Industries: All except Government, Education and Software
  • Titles: IT, Engineering and Technical
  • Job Level: Influencers and Decision Makers

It can be a challenge moving mission-critical databases from an on-premises data center to the cloud and getting the performance (IOPS, throughput, latency) these databases need. Most times, the databases end up overprovisioned. The average is 30% overprovisioned, but we’ve seen as high as 70-80% to get the performance these databases need in the cloud. Worst case, a company’s mission-critical applications and the databases supporting them cannot be moved to the cloud due to performance limitations.

There is a better way!

Using a virtualized data platform that sits between your databases and cloud storage infrastructure, you can utilize a shared compute pool and get 5-10x faster performance and consistent sub-millisecond latency compared to native cloud alone. The platform is enterprise-ready and can support tier 1 workloads. Resources are shared across workloads for maximum efficiency. It also comes equipped with enterprise data services, including thin provisioning, data reduction, and instantaneous, zero-footprint snapshots.

The platform supports Microsoft Azure and Google Cloud Platform. AWS not supported.

Top reasons our community cites for adopting or considering this solution:

  • Challenges getting database performance in the cloud
  • Overprovisioning cloud resources for performance
  • Overspending on database licenses
  • Cloud migration projects delayed due to performance requirements
  • Missing the utility of enterprise data services that are common on-prem and not yet available natively in the cloud (for example, instantaneous, zero-footprint snapshots)

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