Key Takeaways
- MySQL holds a 44.5% market share among relational databases as of 2023
- MySQL is used by 41.8% of all websites with a known database according to W3Techs in 2024
- Over 60% of the top 10 million websites use MySQL as their primary database
- In TPC-H benchmark, MySQL 8.0 scales to 10TB with 3.2 hours QPH@Size10
- Sysbench OLTP read-write test shows MySQL 8.0 at 1,200,000 TPS on 72-core server
- MySQL 8.0 Group Replication achieves 99.999% availability in benchmarks
- In 2023, CVE-2023-21931 MySQL flaw allowed root privilege escalation
- MySQL 5.7 had 127 CVEs reported from 2015-2023 per NIST
- Data Encryption at Rest in MySQL Enterprise covers 100% tablespaces since 5.7
- As of 2024, MySQL 8.0.x holds 65% of all MySQL installations
- MySQL 5.7 still runs on 25% of production servers per 2024 survey
- End of support for MySQL 5.7 hit 20% upgrade rate in 2024 Q1
- MySQL supports 200,000+ connections per instance in HA setup
- Group Replication scales to 9 nodes with 99.999% uptime
- InnoDB Cluster auto-scales reads across 100+ shards
MySQL remains dominant in 2024, powering a vast share of websites, cloud services, and major tech companies worldwide.
Performance and Benchmarks
Performance and Benchmarks Interpretation
Scalability and High Availability
Scalability and High Availability Interpretation
Security and Vulnerabilities
Security and Vulnerabilities Interpretation
Version Distribution
Version Distribution Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Megan Gallagher. (2026, February 13). Mysql Statistics. Gitnux. https://gitnux.org/mysql-statistics
Megan Gallagher. "Mysql Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/mysql-statistics.
Megan Gallagher. 2026. "Mysql Statistics." Gitnux. https://gitnux.org/mysql-statistics.
Sources & References
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- Reference 2W3TECHSw3techs.comVisit source
- Reference 3SURVEYsurvey.stackoverflow.coVisit source
- Reference 4GITHUBgithub.comVisit source
- Reference 5GARTNERgartner.comVisit source
- Reference 6JETBRAINSjetbrains.comVisit source
- Reference 7ENGINEERINGengineering.fb.comVisit source
- Reference 8BLOGblog.twitter.comVisit source
- Reference 9ENGeng.uber.comVisit source
- Reference 10NETFLIXTECHBLOGnetflixtechblog.comVisit source
- Reference 11MYSQLmysql.comVisit source
- Reference 12WORDPRESSwordpress.orgVisit source
- Reference 13AWSaws.amazon.comVisit source
- Reference 14PERCONApercona.comVisit source
- Reference 15ORACLEoracle.comVisit source
- Reference 16DEVdev.mysql.comVisit source
- Reference 17HAMMERDBhammerdb.comVisit source
- Reference 18PHORONIXphoronix.comVisit source
- Reference 19LDBCOUNCILldbcouncil.orgVisit source
- Reference 20MYSQLSERVERTEAMmysqlserverteam.comVisit source
- Reference 21MARIADBmariadb.comVisit source
- Reference 22NVDnvd.nist.govVisit source
- Reference 23DATADOGHQdatadoghq.comVisit source
- Reference 24CLOUDcloud.google.comVisit source
- Reference 25AZUREazure.microsoft.comVisit source






