Pure Storage, a Santa Clara, California-based data storage technology and services company, has announced an expanded, multi-year strategic product and go-to-market partnership with Microsoft, that combines Pure Storage’s capabilities with native Microsoft Azure services, leveraging Azure’s new Premium SSD v2 and introducing them to Azure VMware Solution (AVS) in Preview.
The combined solution promises to optimize costs by achieving a high data reduction ration on VMWare workloads in Azure, leveraging Pure Storage’s compression and deduplication technology combined with Pure Storage’s ability to decouple block storage costs from compute costs. Further cost advantages are expected to be achieved by integrating Azure’s latest storage solution, Premium SSD v2 disk.
Pure Storage “Safemode” provides the ability to leverage snapshots to instantly restore protected data sets. Customers can use this protection with their on-premises VMware environments with FlashArray, and can now also leverage this functionality with Azure VMware Solution and Pure Cloud Block Store.
Disaster recovery benefits are also envisioned by the company. High availability and cloud replication capabilities enable disaster recovery targets on AVS that can be configured with minimal compute and storage that can scale on-demand.
In addition, by using the same data management platform both on-premises and in the cloud, organizations can track, manage, deploy, and provide consistent multi-cloud governance for their data.
“This expanded partnership between Pure Storage and Microsoft creates a significant milestone, ushering in a new age of cloud migration, and ultimately driving faster, more cost-effective adoption of cloud services,” said Ajay Singh, Chief Product Officer at Pure Storage. “By optimizing performance and cost at scale, we look forward to unlocking the number of mission-critical use cases that we can serve in the coming years.”
The expanded partnership between Pure Storage and Microsoft promises to help organizations reduce risks associated with deployments while right-sizing and scaling storage and compute independently as workload demands change.