As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cost has been a key consideration in public cloud adoption from the start. Today, energy efficiency is gaining importance, not only for cutting costs but also as a vital step toward sustainable business practices. By optimizing energy consumption, companies can significantly reduce the cost of their infrastructure. In this way, FinOps and GreenOps go hand-in-hand.
Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. To that end, we’re collaborating 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 and GreenOps are Critical for Cloud Computing in the Age of AI
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.
Cloudera’s Commitment to Sustainable Analytics and AI
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.
Cloudera and AWS Graviton Supports Sustainable Analytics and AI
As more companies deploy AI workloads, they require greater computing power, resulting in increased energy consumption and emissions. Companies adopting AI now face a new obstacle to innovation: they must support AI development while meeting corporate goals for sustainability.
Sustainable infrastructure is no longer optional–it’s essential. And AWS is a crucial ally for Cloudera in enabling companies to scale AI operations responsibly.
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.
Performance Benchmark of Cloudera Data Engineering on AWS Graviton
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.
Customer Spotlight: A Multinational Utility Company’s Journey in Sustainable Data Optimization
At a recent event, a multinational utility company shared its Cloudera journey, showcasing how sustainable business practices evolved alongside its data capabilities. From its early data lakes, the company progressed through several optimizations, including adopting columnar storage, migrating to the public cloud, and utilizing autoscaling to more efficiently manage data. It also implemented Spark for data processing and adopted Iceberg as an open table format to reduce data copies and manage a single, consistent version of its data. Each step of their evolution resulted in improvements in efficiency and a reduction in resource demands.
Cloudera’s continuous innovation enabled this company to maintain relevance and prepare for the future of AI with a well-optimized, sustainable infrastructure that minimizes costs and environmental impact.
For Cloudera, this utility customer’s journey reflects our commitment to modernization and sustainability, providing a real-world example that customers across industries can replicate as they consider their own journeys toward responsible AI.
Try Cloudera on AWS Today
The Cloudera and AWS collaboration represents a significant step forward for companies seeking to balance the need to innovate with advanced analytics and AI while optimizing costs and significantly reducing their environmental impact. Delivering business impact with data while achieving financial and environmental objectives for sustainable operations will be critical for nearly every business, and Cloudera and AWS are ready to partner with your organization to meet those challenges.
If you’re ready to try Cloudera and AWS, you can start with a free 5-day trial that provides common patterns for analytics use cases to get you started, including Cloudera Data Engineering, generative AI, the open data lakehouse, and streaming data distribution. Give it a try today.
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