Preamble
The PostgreSQL translate function replaces a sequence of characters in a string with another set of characters. However, it replaces one character at a time.
For example, it replaces the first character in string_to_replace with the first character in replace_string. Then it will replace the second character in string_to_replace with the second character in replace_string, etc.
Syntax of the translate function in PostgreSQL
translate( string1, string_to_replace, replacement_string )
Parameters and function arguments
- string1 – String to replace the character sequence with another character set.
- string_to_replace – String that will search in string1.
- replacement_string – All characters in string_to_replace will be replaced by the corresponding characters in replace_string.
The translate 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 the translate function to understand how to use the translate function in PostgreSQL.
For example:
SELECT translate('Google.com', 'o', 'A');
--Result: "GAAgle.cAm"
SELECT translate('Google.com', 'oe', 'ABC');
--Result: "GAAglB.cAm"
SELECT translate('Google.com', 'e.c', '456');
--Result: 'Googl456om'
Learn PostgreSQL Tutorial; Full Course for Beginners
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
Why BFSI Leaders Are Turning to Enteros for Database Optimization, AI Ops, and Cloud FinOps Excellence
- 16 April 2026
- Database Performance Management
Introduction The Banking, Financial Services, and Insurance (BFSI) sector is undergoing a massive digital transformation. With the rise of digital banking, real-time payments, fraud detection systems, and AI-driven financial services, organizations are becoming increasingly dependent on high-performance data infrastructure. From managing millions of transactions per second to enabling real-time risk analysis and personalized customer experiences, … Continue reading “Why BFSI Leaders Are Turning to Enteros for Database Optimization, AI Ops, and Cloud FinOps Excellence”
How to Optimize Telecom Sector Growth with Enteros AIOps Platform, Resource Metadata, Hierarchy Metadata, Spot Instances, and RevOps Efficiency
Introduction The telecom sector is at the center of global digital transformation, enabling connectivity for billions of users, businesses, and emerging technologies like IoT, 5G, and edge computing. As demand for high-speed, reliable communication services continues to rise, telecom providers are under immense pressure to scale operations efficiently while maintaining performance and controlling costs. However, … Continue reading “How to Optimize Telecom Sector Growth with Enteros AIOps Platform, Resource Metadata, Hierarchy Metadata, Spot Instances, and RevOps Efficiency”
Who Should Adopt Enteros for Retail Growth Management with AI SQL and Cloud FinOps Efficiency
Introduction The retail sector is evolving at an unprecedented pace, driven by digital transformation, omnichannel experiences, and data-driven decision-making. From global eCommerce giants to mid-sized retail chains, businesses are increasingly relying on cloud infrastructure, databases, and analytics platforms to fuel growth. However, this rapid expansion introduces a fundamental challenge:how to scale efficiently while maintaining performance, … Continue reading “Who Should Adopt Enteros for Retail Growth Management with AI SQL and Cloud FinOps Efficiency”
How to Optimize Technology Sector Growth with Enteros Database Management Platform, Cloud FinOps, and RevOps Efficiency
Introduction The technology sector is at the forefront of innovation, powering digital transformation across industries. From SaaS platforms and cloud-native applications to AI-driven solutions, technology companies are scaling rapidly to meet growing global demand. However, this rapid expansion introduces a critical challenge:how to sustain growth while maintaining high-performance systems, controlling cloud costs, and aligning operations … Continue reading “How to Optimize Technology Sector Growth with Enteros Database Management Platform, Cloud FinOps, and RevOps Efficiency”