2026 Data Platform End of Life Calendar
Many data platform versions are reaching end of life throughout 2026.
For IT leaders managing complex data environments, these deadlines bring serious business risks: security vulnerabilities, compliance gaps, unsupported infrastructure, and lost opportunities to modernize for AI and analytics.
This calendar gives you a complete view of 2026 end of support dates across major data platforms. Use it to build your migration roadmap, assess upgrade priorities, and avoid last-minute scrambles when vendor support disappears.
What You’ll Learn
- Complete 2026 end of support dates for MySQL, PostgreSQL, SQL Server, MongoDB, MariaDB, Databricks, cloud-managed databases, and other critical platforms.
- Which versions lose support each month so you can prioritize upgrades based on your environment.
- Extended support options for platforms that offer additional coverage beyond standard end of life.
Your data infrastructure can’t support tomorrow’s decisions when it’s built on yesterday’s technology.
Datavail has guided hundreds of organizations through end of support transitions without disruption. Our data engineering teams handle the complexity—assessment, planning, migration, testing, and optimization—so your business stays secure, compliant, and ready for what comes next.
Frequently Asked Questions
What happens when a data platform reaches end of life?
End of life means the vendor stops providing security patches, bug fixes, and technical support. Your data platform continues to run, but new vulnerabilities won’t be addressed, compliance frameworks may no longer recognize the version as acceptable, and troubleshooting becomes significantly harder without vendor assistance.
How do I prioritize which data platform upgrades to tackle first?
Start with business impact. Prioritize data platforms that handle sensitive data, support revenue-generating applications, or face regulatory scrutiny. Then consider technical risk—older versions with known vulnerabilities or platforms nearing end of life within 3-6 months need immediate attention. Finally, assess modernization opportunities: upgrades that enable cloud migration, AI capabilities, or better performance should rank higher than simple version-to-version lifts.
Should I upgrade to the latest version or migrate to a managed cloud data platform?
The answer depends on your operational model and business goals. Upgrading to the latest version on-premises gives you tighter control but requires ongoing maintenance, patching, and specialized expertise. Migrating to a managed cloud service reduces operational overhead and can improve scalability, but introduces new cost structures and requires application testing.