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Cloudera Products

We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI

Introducing Cloudera Data Platform

Presenting the industry’s first enterprise data cloud

Cloudera Data Platform (CDP) manages data everywhere with a suite of multi-function analytics to ingest, transform, query, optimize and predict as well as the sophisticated and granular security and governance policies that IT and data leaders demand.

Powered by an open source distribution, CDP manages the entire platform, on multiple public clouds, on-premises, or in any combination of these (hybrid cloud), all from a single pane.

EDC CDP diagram

CDP Public Cloud Services

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Enterprise-grade security and governance

Secure and govern platform data and metadata, and control capabilities with dedicated, integrated interfaces to manage it. Data security, governance and control policies are set once and consistently enforced everywhere, reducing operational costs and business risks while also enabling complete infrastructure choice and flexibility.

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Products spanning from the Edge to AI

Enterprise Data Hub

Modern platform for machine learning and analytics optimized for the cloud.

Date Science & Engineering

Data Warehouse

Operational DB

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Hortonworks Data Platform

Framework for distributed storage and processing of large, multi-source data sets.


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The biggest challenge in getting insights from streaming data is acquiring the data—quickly, securely, and prioritized for analysis with clear traceability. At least it used to be. 

Be prepared to overcome that hurdle and manage your data from edge to enterprise with a no-code approach to developing sophisticated streaming applications easily.

Cloudera Edge Management

Cloudera Flow Management

Cloudera Stream Processing


Explore DataFlow

Cloudera Data Science Workbench

Accelerate your ability to build, scale, and deploy machine learning and advanced analytics with fast, easy, and secure self-service data science for the enterprise. 


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Fast Forward Labs Research

Focus on emerging trends, algorithmic & hardware breakthroughs, technological commoditization, and data availability with machine learning research prototypes 


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