Cloudera launches Data Platform Private Cloud
15 June 2020 | Melanie Mingas
Cloudera (NYSE: CLDR) has launched the Cloudera Data Platform Private Cloud, to connect on-premises environments to public clouds with built-in security and governance.
Built on Red Hat OpenShift and powered by Kubernetes, CDP Private Cloud is designed to accelerate “data-driven digital transformation across private and hybrid cloud with cloud-native speed, scale and economics”, according to Cloudera.
“It has never been clearer that every enterprise needs to be a data-driven business and the data platform at its foundation must be agile, fast and efficient with a full range of capabilities from the Edge to AI,” said Mick Hollison, chief marketing officer, Cloudera.
“The launch of CDP Private Cloud is the culmination of the vision for an enterprise data cloud that allows businesses to navigate complex data processes across multiple clouds, manage data governance, and enable multi-function analytics, regardless of where the data resides.”
Cloudera said that, with the ability to fully implement the enterprise data cloud vision, “IT can say yes to any analytic function on any cloud, enabling the speed and agility the business wants with the security and governance it demands”.
Ashesh Badani (pictured), SVP of cloud platforms, Red Hat, said: “Next-generation data analytics platforms will be fuelled by an enterprise data cloud built on the back of cloud-native infrastructure like Kubernetes.
“As the preferred container solution for CDP Private Cloud, we look forward to delivering Red Hat OpenShift as the enterprise Kubernetes foundation for on-premise deployments of a data platform that can help transform data into clearer and more actionable enterprise insights.”
Arun Murthy, chief product officer at Cloudera added: “Now is the time for IT leaders to choose a data architecture for the next decade and break free from the limitations of legacy data cloud and point provider architectures.
“CDP Private Cloud, running on Red Hat OpenShift, modernizes data platforms leveraging decoupled storage and compute with containers and Kubernetes to accelerate time value by 10x and ensures critical workloads meet their SLAs, realizing the vision of the enterprise data cloud.”