Nutanix Brings Invisible Infrastructure to Big Data and Analytics
Nutanix, a leader in enterprise cloud computing, announced it extended the Nutanix platform with new features for big data and analytics applications, as well as unstructured data storage. These capabilities, part of Nutanix Objects 2.0, include the ability to manage object data across multiple Nutanix clusters for achieving massive scale, increased object storage capacity per node, and formal Splunk SmartStore certification. The enhancements add to a cloud platform that is already optimized for big data applications, to deliver performance and incredible scale, while also reducing cost by maximizing existing, unused resources.
“Digital transformation requires web-scale storage for enterprise workloads. Object storage is rapidly becoming the storage of choice for next gen and big data applications. As object storage makes the leap from the cloud to the datacenter and mission critical workloads, economics must be balanced with performance,” said Amita Potnis, research director in IDC’s Storage team.
Nutanix software brings scale, performance and simplicity, along with built-in automation and one-click operations, to free data scientists, security teams, and line of businesses to focus on extracting value from data. The company’s subscription licensing model also brings the flexibility to quickly adapt to dynamic business needs. Additionally, by natively integrating object storage services with Nutanix’s HCI solution, IT teams can now better leverage unused resources to reduce costs and streamline storage management and administration.
Nutanix Objects is now certified by Splunk as SmartStore compliant allowing customers to simply and seamlessly manage Splunk data growth with Nutanix Objects. Joint customers can now run Splunk workloads on Nutanix software, and leverage Nutanix Objects for built-in object storage to support their Splunk environment. New capabilities included in Nutanix Objects 2.0 are generally available, and more details are available here. For more information on the company’s big data solutions visit the website.