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PostgreSQL on Ubuntu Reviews

4.3 out of 5

What is PostgreSQL on Ubuntu?

Featured PostgreSQL on Ubuntu reviews

PeerResearch reports based on PostgreSQL on Ubuntu reviews

TypeTitleDate
CategoryOperating Systems (OS) for BusinessMar 24, 2026Download
ProductReviews, tips, and advice from real usersMar 24, 2026Download
ComparisonPostgreSQL on Ubuntu vs Red Hat Enterprise Linux (RHEL)Mar 24, 2026Download
ComparisonPostgreSQL on Ubuntu vs Rocky LinuxMar 24, 2026Download
ComparisonPostgreSQL on Ubuntu vs Ubuntu LinuxMar 24, 2026Download
Suggested products
TitleRatingMindshareRecommending
Rocky Linux4.410.2%100%19 interviewsAdd to research
Red Hat Enterprise Linux (RHEL)4.47.4%97%393 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 22, 2026

Valuable Features

Room for Improvement

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

 
PostgreSQL on Ubuntu Reviews Summary
Author infoRatingReview Summary
Senior Software Developer at hireHQ4.5I use PostgreSQL on Ubuntu as our primary database for user and enterprise data, valuing complex joins, ACID reliability, and scalability from 1,000 to 10 lakh users. Indexing boosts performance, costs are lower than SQL Server, but UI and documentation feel outdated.
Head of IT at Givo Pvt Ltd5.0I've used PostgreSQL on Ubuntu for years in a hybrid environment; it's stable, cost-effective, and feature-rich, though some queries perform better in SQL Server. Deployment was simple, and overall, it's met our performance and reliability needs.
Kotlin Developer at Capgemini Engineering3.5No summary available
SecOps Engineer at Iriusrisk4.0I found PostgreSQL on Ubuntu reliable, performant, and cost-effective for my application's database needs. While it seamlessly manages data and offers great flexibility, it requires significant time investment to learn and tune for optimal performance and scalability.
Software Engineer at Government of India5.0No summary available
Consultant at a tech vendor with 10,001+ employees4.0I use PostgreSQL on Ubuntu mainly for querying and feature engineering in SQL; it's reliable, flexible, and supports advanced queries, though slightly slower than others. It’s improved my workflow and I’ve seen clear time-saving benefits.