MySQL on Ubuntu 22.04 LTS is a powerful RDBMS offering robust data management for enterprise applications. It provides a flexible environment for handling large databases with high availability and ease of integration.


| Type | Title | Date | |
|---|---|---|---|
| Category | Operating Systems (OS) for Business | Jan 20, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Jan 20, 2026 | Download |
| Comparison | MySQL on Ubuntu vs Red Hat Enterprise Linux (RHEL) | Jan 20, 2026 | Download |
| Comparison | MySQL on Ubuntu vs Rocky Linux | Jan 20, 2026 | Download |
| Comparison | MySQL on Ubuntu vs Ubuntu Linux | Jan 20, 2026 | Download |
MySQL on Ubuntu 22.04 LTS combines the reliability of an open-source database system with the stability of Ubuntu's latest long-term support version. This combination supports scalable applications, offering extensive support for high-performance queries and transactions. Designed for seamless integration across platforms, it provides tools for managing complex databases, ensuring data consistency and security. Its extensive community support and regular updates enhance the technology stack, making it a suitable choice for developers needing a reliable database solution.
What features stand out in MySQL on Ubuntu 22.04 LTS?
What benefits and ROI to consider when evaluating MySQL on Ubuntu 22.04 LTS?
MySQL on Ubuntu 22.04 LTS is implemented in healthcare for managing patient records, in finance for secure transaction processing, and in e-commerce for handling large volumes of product data. Its reliability and performance make it suitable for mission-critical applications across industries.
| Author info | Rating | Review Summary |
|---|---|---|
| Software Engineer at a tech vendor with 1,001-5,000 employees | 4.0 | I've used MySQL on Ubuntu for over seven years to support Python-based e-commerce apps; it's stable, cost-effective, and performant, though improvements in scalability, security defaults, and cloud-native features would make it even better. |
| Enterprise Cloud Operations Lead at a tech vendor with 10,001+ employees | 4.5 | I’ve used MySQL on Ubuntu mainly for WordPress projects, finding it quick to set up, low-cost, and well-documented, though scaling horizontally is difficult; overall, it’s stable, efficient, and saves time for common web application needs. |
| Level 2 Software Engineer at a computer software company with 201-500 employees | 4.5 | I use MySQL on Ubuntu in a private AWS cloud for workforce analytics, benefiting from strong performance, security, and cost savings. It integrates well with our tools and has been stable, scalable, and reliable for our needs. |
| CEO at a tech vendor with 10,001+ employees | 4.0 | I use MySQL on Ubuntu via AWS for trading transaction storage due to its reliability, scalability, and security. Performance is strong, though occasional slowness may stem from design. Deployment, backup, and cloud integration are excellent. |
| Erp Specialist at a tech vendor with 10,001+ employees | 4.5 | I've used MySQL on Ubuntu for 3–4 years mainly in small company projects; it’s easy, secure, and performs well, though better AI tool integration and improved security during password changes would enhance the overall experience. |
| Chief Data Strategy and Governance Architect at a tech services company with 51-200 employees | 5.0 | I used MySQL on Ubuntu via AWS for lightweight, secure financial data storage and analysis. It was stable, cost-effective, and easy to deploy, though JSON integration and advanced analysis tools could improve for less technical users. |
| IT Administrator at a university with 51-200 employees | 4.5 | I've used MySQL on Ubuntu for 20 years; it's stable, reliable, and supports our Linux-based applications well. Though I'm not deeply involved technically, it works out of the box, with good documentation and minimal maintenance needed. |
| Consultant at a tech vendor with 10,001+ employees | 3.0 | I've used MySQL on Ubuntu mainly for user event tracking and dashboards; it's fast, easy to install, and saves time, though its limited analytics capabilities make it less ideal for complex queries or deep analysis. |