Preamble
PostgreSQL power function returns the value of m, which is elevated to the n-th degree.
Syntax of the power function in PostgreSQL
power( m, n )
Parameters and function arguments
- m – Base for use in the power function.
- n – Indicator of a degree in the power function.
The power function can be used in the following PostgreSQL versions
PostgreSQL 11, PostgreSQL 10, PostgreSQL 9.6, PostgreSQL 9.5, PostgreSQL 9.4, PostgreSQL 9.3, PostgreSQL 9.2, PostgreSQL 9.1, PostgreSQL 9.0, PostgreSQL 8.4.
Let’s look at some examples of power functions to see how to use a power function in PostgreSQL.
For example:
SELECT power(6, 2);
--Result: 36
SELECT power(6, -2);
--Result: 0.0277777777777778
SELECT power(5.4, 3);
--Result: 157.4640000000000000
SELECT power(0, 3);
--Result: 0
SELECT power(3, 0);
--Result: 1
SELECT power(3, 1);
--Result: 3
PostgreSQL tutorial functions
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
Boosting eCommerce Growth with Enteros: AI SQL, RevOps Efficiency, and Performance Optimization for the Digital Marketplace
- 28 October 2025
- Database Performance Management
Introduction The eCommerce landscape is evolving at an unprecedented pace. With billions of daily transactions, global supply chain integrations, and an ever-expanding digital customer base, eCommerce enterprises are under increasing pressure to maintain lightning-fast performance, accurate analytics, and cost-efficient operations.In this hyper-competitive environment, Enteros emerges as a transformative solution — combining AI SQL intelligence, RevOps … Continue reading “Boosting eCommerce Growth with Enteros: AI SQL, RevOps Efficiency, and Performance Optimization for the Digital Marketplace”
From Risk to Resilience: How Enteros Generative AI and Cloud FinOps Are Redefining Database Optimization in Insurance
Introduction The insurance industry has always been rooted in data — assessing risk, predicting trends, and ensuring long-term financial stability. Yet, in today’s digital-first ecosystem, the amount and complexity of insurance data have skyrocketed. From real-time underwriting models to automated claims processing and customer personalization, insurers depend heavily on vast, dynamic, and distributed databases. Managing … Continue reading “From Risk to Resilience: How Enteros Generative AI and Cloud FinOps Are Redefining Database Optimization in Insurance”
Driving Financial RevOps Efficiency with Enteros: AIOps-Powered Database Performance for Smarter Decision-Making
- 27 October 2025
- Database Performance Management
Introduction In today’s competitive financial ecosystem, where every second and every data point matters, achieving operational agility and revenue precision has become a top priority. Financial institutions — from banks and insurance companies to fintech innovators — are seeking more intelligent ways to manage their data-driven operations. The convergence of Revenue Operations (RevOps), database performance … Continue reading “Driving Financial RevOps Efficiency with Enteros: AIOps-Powered Database Performance for Smarter Decision-Making”
Revolutionizing Healthcare Efficiency with Enteros: SaaS Database Optimization, Generative AI, and Cloud FinOps Synergy
Introduction The healthcare sector has entered a new digital era driven by innovation, patient data analytics, and intelligent automation. From hospital management systems and patient monitoring to clinical research and predictive diagnostics, the industry’s growing dependence on cloud-based data systems has introduced both immense opportunities and operational challenges. As healthcare organizations scale their operations, managing … Continue reading “Revolutionizing Healthcare Efficiency with Enteros: SaaS Database Optimization, Generative AI, and Cloud FinOps Synergy”