Optimize your big data workload for the cloud
Let’s talk TCO
Is it less expensive to run your applications in the cloud? That depends on a number of factors. What workloads do you plan to run and for how long? How might your needs change over time? Infrastructure is one of the largest expenses for big data applications. Cloudera can help you optimize your cloud environment by matching infrastructure to the specific needs of different big data applications. Size compute and storage independently, spin clusters up and down, or grow and shrink them as needed to ensure the lowest TCO.
The future is hybrid and portable
Cloud strategies are like fingerprints. Everyone has them, and each is unique. That’s why having the flexibility to run your applications how, where, and when it’s right for your business is so important. Cloudera’s modern platform for machine learning and analytics is optimized for any environment—transient or persistent, hybrid cloud or multi-cloud—and is completely portable. That means you can run the same enterprise-grade Cloudera application in the cloud or on-prem, and easily migrate workloads between environments.
A unique value proposition for Hadoop in the cloud
Cloudera’s platform can leverage elastic infrastructure to size compute and storage independently, grow and shrink clusters dynamically, and clone net-new clusters for ad-hoc, transient workloads.
Preserve business flexibility and minimize cloud lock-in. Run your Cloudera workloads on any public cloud, or even in multi-cloud environments.
Reduce your risk with the only big data platform that delivers comprehensive manageability, availability, security, and governance required for production workloads.