Faction Cloud Control Volumes (CCVs) provide customers with persistent cloud-attached storage with a flexible design that matches the right storage performance tiers to workload needs, optimizing costs.
The service is directly connected to public clouds via proprietary, patented network connectivity with ultra-low latency. Customers can also leverage this service for cloud-based, cost-effective disaster-recovery-as-a-service for VMware-based workloads.
Enjoy cloud-attached storage that scales as your applications require, without the need to add costly compute nodes.
Storage performance tiers allow you to optimize your storage design, matching access frequency and throughput capabilities to your specific workloads, while reducing costs to store less frequently accessed data.
Faction storage is persistent, unlike many of your other options. Most public clouds leverage hyper-converged infrastructure, so if a software-defined data center is shut down, all data is lost as the node is deleted. You can avoid that scenario with Faction cloud storage.
When you use CCVs with VMware Cloud on AWS, you can leverage existing skills and tools on familiar VMware technology and replicate directly from your on-premise storage arrays to Faction storage.
Use Cloud Control Volumes with your choice of one or more hyperscale cloud providers to leverage the best-in-breed tools without the complications.
AWS has been offering infrastructure as a service since 2008 and currently holds the largest market share of the hyperscale cloud providers. AWS offers an impressive collection of services across analytics, compute, storage, database, adn developer tools. Access these AWS-native services with ultra-low latency connections while maintaining control over your data with Faction Cloud Control Volumes.
Faction Cloud Control Volumes were the FIRST cloud-attached storage solution that integrates natively with VMware Cloud on AWS. The service is directly connected to VMware Cloud on AWS via proprietary, patented network connectivity with less than 3-millisecond latency. Build VMware-based environments that can integrate with native AWS IaaS and PaaS tools; from database services to security to content distribution, you have over 100 services that can help rapidly build and scale composite applications. Customers can also leverage this service for cloud-based, cost-effective disaster-recovery-as-a-service for VMware-based workloads.
Faction has partnered with Dell Technologies to combine the benefits of compute and processing services in the cloud with the unmatched scalability, performance and efficiency of Faction CCVs on Dell storage hardware, while maintaining control and security of their data. This service delivers a higher bandwidth (up to 200 Gbps), lower latency connection (as low as 1.2 ms) to the Microsoft Azure cloud using Azure ExpressRoute Local. There are also no outbound data traffic costs for data written to Dell Isilon from within Azure.
High-speed, private cloud connections ensure Faction’s high-performance CCVs leverage Google Cloud’s compute clusters. Faction isolates traffic on private IP addresses for secure connectivity, keeping your data safe.
Use Faction CCVs with your Faction-hosted Private Cloud and future-proof your storage for a multi-cloud future! Contact Us to learn how Faction CCVs can be customized to meet your platform and replication requirements.
Best for workloads and data that requires infrequent access. These include use cases like long-term records retention, write-once-read-never, video retention, and web content management.
Powerful solution suitable for application testing and development, off-premises data replication and data resilience, home directories, shared directories for use cases like test/dev diagnostics.
Best for applications that require high amount of read access, including media processing, home directories, application testing and development, container storage, and rendering.
All-flash storage tier suitable for high performance workloads like critical stream analytics, real-time inference with machine learning, and time sensitive data warehouse workloads.
Best performance for workloads including Big Data analytics and IO-intensive apps like SAP, Oracle and SQL Enterprise.