Preamble
The PostgreSQL replace function replaces all occurrences of the specified string.
Syntax of the replace function in PostgreSQL
replace( string, from_substring, to_substring )
Parameters and arguments
- string – Source line.
- from_substring – A search substring. All entries from_substring found in the string are replaced by to_substring.
- to_substring – Replacement of substring. All occurrences from_substring found in the string are replaced by to_substring.
Note:
- The replace function performs case sensitive replacement.
The replace function can be used in future versions of PostgreSQL
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 replace functions to understand how to use the replace function in PostgreSQL.
For example:
SELECT replace('Google.com', 'Google', 'Bing');
--Result: Bing.com
SELECT replace('Google.com', 'google', 'bing');
--Result: Google.com
SELECT replace('abc abc', 'a', 'B');
--Result: Bbc Bbc
SELECT replace('abc abc', 'A', 'B');
--Result: abc abc
SQL String Functions Tutorial (LEFT, RIGHT, POSITION, CONCAT, LOWER, REPLACE)
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
Scaling Digital Banking with Confidence: AI SQL and Performance Intelligence by Enteros
- 5 February 2026
- Database Performance Management
Introduction Digital banking has moved from being a competitive differentiator to a baseline expectation. Customers now demand real-time payments, instant account access, personalized financial insights, always-on mobile experiences, and seamless digital onboarding—without delays, downtime, or friction. Behind these experiences lies an increasingly complex technology foundation. Core banking modernization, cloud-native digital platforms, open banking APIs, AI-powered … Continue reading “Scaling Digital Banking with Confidence: AI SQL and Performance Intelligence by Enteros”
Turning Database Performance into Revenue Intelligence: Enteros for US Financial Enterprises
Introduction In the US financial services market, technology performance is no longer just an IT concern—it is a direct driver of revenue, customer trust, and competitive advantage. Banks, fintechs, capital markets firms, insurers, and payments providers all operate in an environment defined by real-time transactions, digital-first customer expectations, regulatory scrutiny, and relentless pressure to improve … Continue reading “Turning Database Performance into Revenue Intelligence: Enteros for US Financial Enterprises”
AI Model–Powered Database Optimization for Real Estate: Performance Management and Cost Attribution with Enteros
- 4 February 2026
- Database Performance Management
Introduction The real estate sector is undergoing a profound digital transformation. Property management platforms, digital leasing systems, smart building technologies, tenant experience apps, AI-driven valuation models, ESG reporting tools, and real-time analytics now form the backbone of modern real estate enterprises. Behind every one of these systems lies a complex database ecosystem—supporting high transaction volumes, … Continue reading “AI Model–Powered Database Optimization for Real Estate: Performance Management and Cost Attribution with Enteros”
Accurate Cost Estimation for Telecom Databases: How Enteros Aligns AIOps and Performance Intelligence
Introduction Telecom organizations are operating at an unprecedented scale. 5G rollouts, digital service platforms, real-time billing systems, subscriber analytics, IoT connectivity, and AI-driven customer engagement have pushed data volumes and transaction complexity to new extremes. Yet while networks continue to modernize, database economics remain poorly understood. Most telecom leaders know their cloud bills are rising. … Continue reading “Accurate Cost Estimation for Telecom Databases: How Enteros Aligns AIOps and Performance Intelligence”