Assessing the Environmental Impact of Cloud Data Platforms
Predicting Cloud Data Platforms Carbon Footprint for Large Data Warehouses
Our white paper delves into the environmental aspects of cloud data warehousing,
utilizing BEZNext's
Cloud Performance Optimization methodology to evaluate and
compare the energy usage and carbon emissions across leading cloud data platforms.
Through a detailed case study, we demonstrate how data from Performance Monitoring
and observability are leveraged by our advanced modeling and optimization technology
to assess and contrast the energy consumption and carbon footprint of platforms such
as Snowflake, Teradata Vantage, and Amazon Redshift. This analysis is critical for making
informed decisions regarding cloud platform selection, migration strategies, and the
ongoing management of cloud resources, especially in terms of cost and environmental
impact.
By providing insights into the power consumption and carbon emissions associated with
various cloud data platforms and business workloads, this paper aids organizations in
navigating the complexities of achieving sustainability goals while optimizing their cloud
data warehouse solutions.