Cloudera and AWS to offer cost-efficient and sustainable infrastructure for AI and analytics

Cloudera has collaborated with Amazon Web Services (AWS) to deliver a high-performance, energy-efficient, and cost-effective solution by supporting many data services on AWS Graviton. Together, Cloudera and AWS empower businesses to optimize performance for data processing, analytics, and AI while minimizing their resource consumption and carbon footprint.

FinOps in cloud computing is essential for businesses to understand, manage, and optimize cloud spending. As the scale of data and computing grows, especially with the increase of AI workloads, FinOps provides a strategic approach to keep cloud expenses predictable and aligned with business objectives.

Meanwhile, GreenOps focuses on reducing the environmental impact of cloud operations. With more companies committing to carbon neutrality and recognizing their roles in climate action, GreenOps practices are gaining traction, encouraging efficient infrastructure management that conserves energy and reduces carbon emissions. Together, FinOps and GreenOps form a powerful approach to cloud strategy supporting cost-efficient sustainable operations.

With 25 exabytes of data under management across the globe, Cloudera is leading the way in sustainable analytics and AI. We have implemented several product and corporate initiatives to help our customers reduce costs and be more energy efficient, including -

• Native Support for Apache Iceberg: Cloudera’s adoption of Apache Iceberg enables customers to build data lakehouses that reduce data replication, data movement, and data copies, saving on storage costs and reducing the compute required to move and duplicate data.
  
  
• Lakehouse Optimizer: Cloudera introduced a service that automatically optimizes Iceberg tables for high-performance queries and reduced storage utilization. The net result is that queries are more efficient and run for shorter durations, while storage costs and energy consumption are reduced.
  
  
• Unified Codebase: A unified codebase across platforms and infrastructure simplifies analytics workflows, eliminating redundant processes that consume resources and ensuring that analytics workloads run efficiently.
  
  
• Net Zero Commitment: Cloudera has committed to reducing carbon emissions and reaching Net Zero by 2050. With each technology advancement, Cloudera moves closer to creating a sustainable analytics ecosystem.
  
  

These features align with FinOps and GreenOps principles, demonstrating Cloudera’s commitment to cost savings and environmental stewardship while delivering industry-leading analytics capabilities.

AWS Graviton processors are designed to run critical workloads at the lowest cost, with the best performance, and with the lowest energy consumption. Today, Cloudera Data Engineering, a data service that streamlines and scales data pipeline development, is available with support for AWS Graviton processors. Benchmarks show significant performance improvements for Spark jobs on AWS Graviton processors compared to alternatives. 

As a result of this collaboration, Cloudera Data Engineering on AWS Graviton is the industry leader in performance, price, and energy efficiency for data processing workloads utilizing Spark on Iceberg tables. 

Cloudera Data Engineering is just the start. Several other data services are planned for general availability or technical preview on AWS Graviton in the coming months.