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Secure data management and portable cloud-native data analytics delivered in an open, hybrid data platform

CDP provides the freedom to securely move  data, applications, and users bi-directionally between the data center and multiple data clouds, regardless of where your data lives.

Whether you’re powering business-critical AI applications or real-time analytics at scale, CDP Data Services enable your business to do anything with your data, anywhere, securely.

  • Ingest
  • Prepare
  • Analyze
  • Predict
  • Publish

Ingest: Streaming & DataFlow

Connect to any data source with any structure across clouds or hybrid environments and deliver anywhere. Process critical business events to any destination in real-time for immediate response.

Prepare: Data Engineering

Orchestrate and automate complex data pipelines with an all-inclusive toolset and a cloud-native service purpose-built for enterprise data engineering teams.

Analyze: Data Warehouse

Ingest, explore, find, access, analyze, and visualize data at any scale while delivering quick, easy self-service data analytics at the lowest cost.

Predict: Machine Learning

Accelerate innovation for data science teams, enabling them to collaboratively train, evaluate, publish, and monitor models; build and host custom ML web apps; and deliver more models in less time for business insights and actions.

Publish: Operational Database & Data Visualization

Empower developers to build and deploy scalable, high-performance applications and enable users to create and publish custom dashboards and visual apps in minutes.


Why Cloudera on Amazon Web Services (AWS)?

Cloudera on AWS helps organizations get more value from their data in the cloud. Customers can rapidly, confidently and cost-effectively discover, procure and deploy the world’s first enterprise data cloud, powered by AWS. This allows for faster time-to-insight from their advanced analytics and machine learning services all while leveraging the power of the public cloud.

Enterprises are adopting a hybrid cloud approach
While more Cloudera customers want to move apps and data to the cloud, they also want to continue using their data centers. By having both on-premises and cloud environments, organizations will increase their agility. It’s easy to see why hybrid is gaining momentum. In a recent study, 451 Research found that over 60 percent of companies either have a hybrid cloud strategy in place or are actively deploying pilots. Looking ahead to the near future, hybrid cloud will only become more prevalent. A hybrid approach fits for many organizations as it allows them to make best use of on-premises infrastructure while using the cloud for additional or bursty workloads. Customers can achieve this hybrid strategy with Cloudera.

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-first 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 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.

The Cloudera Data Platform running on AWS helps us manage our data, interpret analytics, and put those insights into action with customer segmentation so we can better tailor how our customers discover, buy and use our services.

Gil Genio, Chief Technology and Information Officer, Chief Strategy Officer, Globe Telecom


Key highlights





Partner Website

Partnership highlights
  • Tight integration with AWS resources
  • Provides elasticity, agility, and ease of use for hybrid and public cloud by intelligently autoscaling workloads up and down for more cost-effective use of cloud infrastructure. Consistent user experience makes it faster and easier to analyze data.
  • Optimizes the data lifecycle with multi-function analytics that solves demanding business use cases with 3 primary services (Streaming Analytics, Data Warehouse, and Machine Learning) and additional, secondary services. All with a cloud-native, self-service user experience.
  • Ensures all workloads on the platform share common security, governance, and metadata. Users can efficiently find, curate, and share data, enabling self-service access to trusted data and analytics.
Gartner Peer Insights Customers' Choice 2022 logo

GigaOm Radar for Data Lakes & Lakehouses

Cloudera named 2023 market leader for data lakehouses.

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