New Configurations Enable Petabyte-Scale File Data Lakes with Reduced Cloud Infrastructure Costs
Qumulo, the breakthrough leader in simplifying enterprise file data management in hybrid-cloud environments, continues to extend its market lead by announcing expanded Cloud Q configurations available through the AWS Marketplace. The enhanced cloud file offering benefits customers in two ways. First, it lowers the cost of file data management for customers.
Second, it increases the range of performance options for customers which enables much more efficient AWS infrastructure utilization for a wider variety of unstructured file data workloads. These improvements coupled with the newly announced lower AWS infrastructure costs will deliver savings to customers of up to 70% for mission-critical file data workflows. Now, enterprise customers can use Qumulo’s more performant cloud-native file data platform to better serve the increasing performance demands of data intensive, file-based workflows.
Read More: Inaugural Customer Success Leadership Study Results Released By ChurnZero, ESG, And Higher Logic
“Our new configurations in the AWS Marketplace enable customers to tackle the toughest, large-scale unstructured data challenges by creating high-performance file data lakes connected to workflows, while leveraging data intelligence services such as AI and ML from AWS.”
“Qumulo on AWS gives us the performance gains needed over object stores and the ability to use our highly-active file data at any scale in the cloud,” said Graham Peddie, COO at Cinesite. “Qumulo, with its capacity-based consumption options, allows our Line of Business and IT teams to work together on our digital projects without compromising on choice of how we manage our unstructured data or control costs.”
Read More: SalesTechStar Interview with James Heller, CEO and Co-Founder of Wrapify
Data is at the core of every modern business. How data is created, used, shared, protected, and stored is a crucial pillar of any data management strategy. In addition, unlimited scale, continuity, performance, and controlling costs are vital to the overall data innovation strategy. Historically, high barriers to entry, such as costly upfront trade-offs when “lifting and shifting” file-data dependent workloads to the cloud, made it difficult to take advantage of cloud innovation and operational models.
“With Qumulo, unstructured file data is now a manageable component of an overall data intelligence strategy,” said Barry Russell, senior vice president and general manager of cloud at Qumulo. “Our new configurations in the AWS Marketplace enable customers to tackle the toughest, large-scale unstructured data challenges by creating high-performance file data lakes connected to workflows, while leveraging data intelligence services such as AI and ML from AWS.”
Read More: Gatekeeper Revolutionises Self-Service Contracts With The Launch Of ‘Touchless Contracts’