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

At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Enterprises undergoing digital transformation are demanding a modern analytic experience across public, private, hybrid, and multi-cloud environments. Specifically, they:

  • Need to run multiple analytic functions on the same data set with a common security and governance framework—enabling data privacy and regulatory compliance
  • Want the agility, elasticity, and ease of use of cloud infrastructure, but they also want to run analytic workloads wherever they choose and regardless of where their data may reside
  • Want open architectures and the flexibility to move those workloads to different cloud environments—public or private—to avoid vendor lock-in
  • Consider these foundational requirements for competitive advantage—not “nice-to-have” features

What enterprise customers want is an enterprise data cloud. This is a new term for our industry and a new market category we are uniquely positioned to lead.

A new approach 

An enterprise data cloud is different than anything enterprises have ever experienced. It features four distinct characteristics:

  • Hybrid and multi-cloud: An enterprise data cloud must offer flexibility, operating with equivalent functionality on and off premises and supporting all major public clouds as well as the private cloud.
  • Multi-function: An enterprise data cloud must solve an enterprises’ most-pressing data and analytic challenges in a streamlined fashion. Addressing real-world business problems generally requires the application of multiple analytic functions working together on the same data. For example, autonomous vehicles require the application of both real-time data streaming and machine learning algorithms.
  • Secure and governed: An enterprise data cloud has to be secure and compliant, meeting the strict data privacy, governance, data migration, and metadata management demands of large enterprises across all their environments.
  • Open: An enterprise data cloud must be open source and must favor open platforms, open integrations, and open partner ecosystems, supporting open compute architectures and open data stores like Amazon S3 and Azure Data Lake Storage. Ultimately, enterprises want to control their own data and avoid vendor lock-in.

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