Cloudera and Amazon Web Services

Customers of Cloudera and Amazon Web Services (AWS) now have the ability to run the Enterprise Data Hub in the AWS public cloud, leveraging the power of the Cloudera Enterprise platform and the flexibility of the AWS cloud together.

Joint Solution


Cloudera Delivers Hadoop in the AWS Cloud
Organization’s requirement for a Big Data solution is simple: The ability to acquire and combine any amount or type of data in its original fidelity, in one place, for as long as necessary, and deliver insights to all kinds of users, as fast as possible.

As organizations are looking to embrace Hadoop-powered Big Data deployments in cloud environments, they have been asking for the ability to seamlessly store, process, and analyze data in the Cloud, along with all the benefits of an on-premises deployment, such as enterprise-grade security, management tools, and technical support.

Cloudera delivers on that objective with Cloudera Enterprise and now makes it possible for organizations to deploy the Cloudera solution as an Enterprise Data Hub in the Amazon Web Services (AWS) cloud. This joint solution combines Cloudera’s expertise in large-scale data management and analytics, along with AWS’s expertise in cloud computing.  

Why Cloudera on AWS

Flexible Deployment, Faster Time to Insight
Running Cloudera Enterprise on AWS provides customers the greatest flexibility in how they deploy Hadoop, and can now bypass prolonged infrastructure selection and procurement processes, to rapidly put Cloudera’s Platform for Big Data to work to start realizing tangible business value from their data immediately. Hadoop excels at large scale data management and the AWS cloud focuses on providing infrastructure services on demand. Combining these allows customers to be able to leverage the power of Hadoop much faster and on-demand.

Scalable Data Management
At many large organizations, it can take weeks or even months to add new nodes into a traditional data cluster. By deploying Cloudera Enterprise in AWS, enterprises can effectively shorten rest-to-growth cycles to scale their data hubs as their business grows.

On-demand Processing Power
While Hadoop focus on collocating compute to disk, there are many processes that benefit from increased compute power. Deploying Hadoop on Amazon allows a fast ramp-up / ramp-down based on the needs of specific workloads, a flexibility that does not come easy with on-premise deployment.

Improved Efficiency, Increased Cost Savings
Deploying in AWS eliminates the need for organizations to dedicate resources toward maintaining a traditional data center, enabling them to focus instead on core competencies. As annual data growth for the average enterprise continues to skyrocket, even relatively new data management systems may experience strain under the demands of modern high performance workloads. By moving their data management platform to the cloud, enterprises can now offset or avoid the need to make costly annual investments in their on-premises data infrastructure to support new enterprise data growth, applications and workloads.