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MySQL Reviews & Insights

Score8.3 out of 10

991 Reviews and Ratings

Who Buys & Uses MySQL

Based on 91,522 HG Insights installations.

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Insights from MySQL Reviewers

Based on 7 verified reviews published in the last 18 months


Synthesised from 7 reviews | Last Published May 27, 2026


MySQL serves as a foundational relational database management system across various organizations, primarily for structured data, web services, and critical business operations like transaction processing and auditing. In TrustRadius reviews, users widely adopt it to support proprietary CRM, Confluence, Jira, and Java-based applications. Reviewers frequently commend its ease of use, straightforward setup, and robust performance, especially for read-heavy operations, alongside its cost-effectiveness due to its open-source nature.

Beyond its core strengths, reviewers also value its active user community and ACID compliance with the InnoDB engine, ensuring data integrity. However, some limitations are noted, including challenges with advanced SQL features and scalability for very large or complex applications. Performance issues with intricate joins and high resource utilization are also reported by some, suggesting careful consideration for highly demanding analytical or horizontally scaled scenarios. Overall, MySQL is seen as a reliable and accessible database solution, particularly beneficial for cost-conscious environments.


  • Ease of setup and user-friendly interface for querying and implementation
  • Strong performance for read-heavy operations and large data volumes, aided by B-tree indexing
  • Cost-effectiveness due to its open-source nature and low licensing costs
  • Robust community support and flexibility for code modification
  • ACID compliance when utilizing the InnoDB storage engine for data integrity
  • Limited support for advanced SQL features, hindering complex reporting
  • Challenges with horizontal scalability for massive databases and complex applications
  • Potential for slow performance with complex joins and full table scans
  • High resource utilization (CPU, memory) leading to slower application performance
  • Weak JSON and NoSQL capabilities compared to specialized solutions
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