Cloudera Data Platform (CDP) is a hybrid data platform that manages, secures and connects the data lifecycle in AWS. CDP Public Cloud delivers powerful self-service analytics across hybrid and multi-cloud. Customers have the flexibility to accommodate multi function workloads as they wish. Additionally, Cloudera’s hybrid approach allows customers to take advantage of cost efficiencies. As demands fluctuate, it’s easy for customers to scale compute resources up or down in the cloud, using and paying only for what they need.
Cloudera Open Data Lakehouse on AWS provides a fast, seamless, and trusted path to generative AI in the Enterprise. Moving workloads, including on-premises, to the cloud, requires minimal effort, eliminating the need to redevelop workloads. This is due to the hybrid architecture of CDP that runs the same set of services on-premises and in the cloud. Organizations can deliver migrations of data and analytics to the cloud with minimal effort while minimizing risk.
Cloudera DataFlow for Public Cloud on AWS is a cloud-native universal data distribution service powered by Apache NiFi. The service enables data professionals to connect to any data source anywhere (edge, on premises, public cloud, SaaS), with any structure, process it, and deliver to any destination using a low-code, visual flow designer.
CDP Machine Learning on AWS is the fastest and most cost effective way to stand up machine learning applications in the public cloud. CDP ML on AWS is more than just a ML tool point solution. It is a full suite of products & services that is already integrated and has security & governance. Plus it is managed and supported, all in a cost-effective way. With CDP ML on AWS, organizations can quickly stand up applications in the public cloud with a proven Cloudera general ML approach on a single, integrated modern data platform.