News
August 25, 2025
EDB Postgres AI Delivers Major Energy Savings and Cost Reductions for Enterprises
WILMINGTON, DE — EnterpriseDB (EDB) announced new independent research showing that its EDB Postgres AI (PG AI) platform significantly reduces energy consumption, emissions, and costs for enterprise customers while maintaining ...
**EDB Postgres AI Delivers Major Energy Savings and Cost Reductions for Enterprises**
WILMINGTON, DE — EnterpriseDB (EDB), a leading contributor to PostgreSQL, has unveiled compelling new research highlighting the significant environmental and financial benefits of its EDB Postgres AI (PG AI) platform. The independent study reveals that enterprises utilizing PG AI are experiencing substantial reductions in energy consumption, emissions, and associated costs, marking a significant step forward in sustainable database management.
In today's business climate, where environmental responsibility and cost optimization are paramount, the findings offer a compelling case for adopting AI-powered database solutions. The research focused on quantifying the impact of PG AI on several key performance indicators related to energy usage within enterprise database environments.
While specific details of the methodology and precise numerical results were not immediately disclosed, EDB emphasized that the reductions are significant enough to represent a tangible impact on both a company's bottom line and its carbon footprint. The energy savings are attributed to PG AI's intelligent automation capabilities, which optimize database performance and resource allocation. By dynamically adjusting database configurations and workloads based on real-time analysis, PG AI minimizes unnecessary energy expenditure, leading to lower operational costs and reduced greenhouse gas emissions.
The platform’s AI-driven capabilities allow for more efficient query processing, reduced data redundancy, and optimized storage utilization, all of which contribute to lower energy demands. Furthermore, PG AI automates many of the traditionally manual tasks associated with database administration, freeing up IT personnel to focus on more strategic initiatives, while simultaneously ensuring that the database environment operates at peak efficiency.
EDB believes that this research validates its commitment to developing innovative solutions that not only enhance database performance but also contribute to a more sustainable future. The company anticipates that the findings will encourage more enterprises to explore the potential of AI-powered database management as a means of achieving both economic and environmental objectives. As businesses increasingly prioritize sustainability initiatives, tools like PG AI are poised to play a critical role in helping them meet their goals while maintaining a competitive edge. Further details of the independent research are expected to be released by EDB in the coming weeks.
WILMINGTON, DE — EnterpriseDB (EDB), a leading contributor to PostgreSQL, has unveiled compelling new research highlighting the significant environmental and financial benefits of its EDB Postgres AI (PG AI) platform. The independent study reveals that enterprises utilizing PG AI are experiencing substantial reductions in energy consumption, emissions, and associated costs, marking a significant step forward in sustainable database management.
In today's business climate, where environmental responsibility and cost optimization are paramount, the findings offer a compelling case for adopting AI-powered database solutions. The research focused on quantifying the impact of PG AI on several key performance indicators related to energy usage within enterprise database environments.
While specific details of the methodology and precise numerical results were not immediately disclosed, EDB emphasized that the reductions are significant enough to represent a tangible impact on both a company's bottom line and its carbon footprint. The energy savings are attributed to PG AI's intelligent automation capabilities, which optimize database performance and resource allocation. By dynamically adjusting database configurations and workloads based on real-time analysis, PG AI minimizes unnecessary energy expenditure, leading to lower operational costs and reduced greenhouse gas emissions.
The platform’s AI-driven capabilities allow for more efficient query processing, reduced data redundancy, and optimized storage utilization, all of which contribute to lower energy demands. Furthermore, PG AI automates many of the traditionally manual tasks associated with database administration, freeing up IT personnel to focus on more strategic initiatives, while simultaneously ensuring that the database environment operates at peak efficiency.
EDB believes that this research validates its commitment to developing innovative solutions that not only enhance database performance but also contribute to a more sustainable future. The company anticipates that the findings will encourage more enterprises to explore the potential of AI-powered database management as a means of achieving both economic and environmental objectives. As businesses increasingly prioritize sustainability initiatives, tools like PG AI are poised to play a critical role in helping them meet their goals while maintaining a competitive edge. Further details of the independent research are expected to be released by EDB in the coming weeks.
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