MySQL has been a dependable, well-documented relational database that fits naturally into our backend stack alongside our other integrations like Zoho Books and our internal accounting logic. Performance for our transactional workloads, like trip settlements and journal entries, has been solid and predictable even as data volume grows. The command-line interface and tooling around it are straightforward for our team to work with directly, and being open-source with a strong free community edition makes it a strong ROI choice since we're not paying for enterprise features we don't need. Community support and documentation are extensive, so troubleshooting rarely requires waiting on official support channels. Review collected by and hosted on G2.com.

Some advanced features, like certain types of replication or partitioning, require more manual configuration compared to other database systems, which adds setup overhead for niche use cases. Handling complex queries involving multiple joins across large tables can get slower without careful indexing and optimization work upfront. There's also no built-in AI or intelligent query optimization beyond the standard query planner, so performance tuning still depends heavily on manual expertise rather than automated assistance. Enterprise-tier support and advanced tooling come at additional cost if you outgrow the community edition. Review collected by and hosted on G2.com.