Qumulo, the leading provider of cloud data platforms, is announcing the general availability of Cloud Native Qumulo (CNQ) on AWS, an enterprise-proven, multi-protocol file data service system that manages unstructured data with performance, scalability, flexibility, and cost efficiency at its core.
CNQ is a software-defined storage solution that pairs AWS EC2 instances with S3 storage to create an agile and elastic file system, according to Qumulo. Designed to support a variety of sectors—including healthcare and life sciences, media and entertainment, higher education, financial services, and energy—CNQ works to reduce costs without impacting performance.
“For the first time, customers can use CNQ on AWS to elastically burst performance or capacity at will, customizing the storage instance to meet dynamic workload demands,” said Kiran Bhageshpur, chief technology officer at Qumulo. “CNQ can be deployed within minutes and updated within seconds, enabling customers to run enterprise file workloads within their Virtual Private Clouds (VPCs), with optional use of S3 intelligent tiering to reduce infrastructure costs further.”
With its intelligent cache management, CNQ accelerates data access between object storage and compute, curbing the latencies commonly associated with file transfers from S3 to temporary caches. The launch of CNQ on AWS enables Qumulo to forward a new kind of cloud data management that emphasizes flexibility, performance, and cost efficiency, according to the company.
Some other notable benefits include:
- Rapidly and easily deploy CNQ in minutes with a wide range of EC2 instance types.
- Seamlessly expand and reduce performance and capacity within minutes to match dynamic workload requirements without disruption.
- Scale data footprints to exabyte levels.
- 999999999% durability of AWS S3 where data is always protected and available
- Pay only what you use, when you use it, which can be further optimized with S3 intelligent tiering.
To learn more about CNQ on AWS, please visit https://qumulo.com/.