Today, most enterprises distribute their data and workloads across both cloud and data centers. Organizations require a consistent, dependable experience across their entire data estate, allowing them to deploy AI where it makes the most sense for the business without sacrificing control or flexibility.
We’re excited to share that Cloudera has earned the prestigious Amazon Web Services (AWS) AI Competency. This recognition comes at a time when many organizations are moving beyond early AI experimentation and confronting the more complex reality of operationalizing AI across distributed data environments.
AWS AI Competency Partners are recognized for their ability to build AI-driven solutions that deliver tangible business outcomes. Earning this designation reflects real-world experience supporting customers across the full AI lifecycle, from early development through production deployment and ongoing optimization.
To qualify, partners must demonstrate not only strong technical skills, but also a consistent track record of helping organizations operationalize AI in practical, scalable ways. That includes enabling teams to move from initial experimentation to systems that can be reliably deployed, monitored, and integrated into existing business processes.
Cloudera’s inclusion stems from its experience supporting customers in running AI in complex environments, including use cases involving generative and agentic applications. It also points to a broader shift in how organizations are approaching AI, moving toward solutions that are production-ready and aligned with enterprise requirements.
Enterprises today need AI that works where their data lives and delivers real business outcomes. Achieving this AWS AI Competency validates our ability to help customers operationalize AI across hybrid environments, combining the scalability of AWS with the governance and security required to deploy agentic AI at enterprise scale.
Cloudera’s approach is grounded in its AI Anywhere strategy, which enables organizations to run AI workloads across any cloud and data center while maintaining full control over data. This includes a “compute to data” architecture, which brings AI workloads directly to governed data sources rather than moving data to centralized systems. This is especially critical for large enterprises managing sensitive datasets across on-premises environments and cloud platforms like AWS. By keeping data in place, organizations maintain strict control over security and compliance requirements.
The result is a more efficient and scalable path to enterprise AI, from optimized infrastructure and operational costs to stronger data and model sovereignty, all without compromising performance or flexibility.
Cloudera enables organizations to leverage AWS services such as Amazon Bedrock and Amazon SageMaker while maintaining a secure, governed environment for AI development and deployment.
Through this integration, enterprises can:
AI is only as effective as the data behind it. Large enterprises operate across complex, distributed environments where data spans clouds, on-premises systems, and the edge. Cloudera enables access to 100% of that data so organizations can build more accurate, impactful AI applications.
This reflects a core principle of Cloudera: delivering end-to-end control across models and agents, and inference to ensure trusted AI outcomes at scale.
Cloudera will continue to deepen its collaboration with AWS, helping customers unlock the full value of their data and AI investments by enabling them to build, deploy, and scale AI across hybrid and multicloud environments. Together, Cloudera and AWS provide a consistent, secure foundation for running AI where data lives by combining AWS's scalability with the full control enterprises need to deliver real business outcomes.
Cloudera will also sponsor the upcoming AWS Summit series, including AWS re:Invent in November. For more information on events, visit our events page.
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