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Choose PostgreSQL when a publicly visible calendar is the priority; choose MySQL LTS when a tightly defined stability contract and the longest support runway matter more. PostgreSQL publishes an annual major-release rhythm, quarterly minor-release targets and five years of support for each major version. MySQL separates its lifecycle into LTS and Innovation tracks: LTS provides five years of premier support plus three years of extended support, while Innovation accepts faster feature and behavior changes. Neither policy removes the need for your own testing, maintenance windows and rollback plans.
The short answer for release predictability
Release timing has several dimensions, and the two projects optimize for different ones. PostgreSQL makes dates relatively easy to anticipate: a new major version arrives about once a year, minor releases are targeted for the second Thursday of February, May, August and November, and each major version is supported for five years. MySQL gives you a stronger choice of stability level: an LTS line keeps a stable feature set and receives five years of premier support followed by three years of extended support, whereas the Innovation line moves faster and is supported only until the next Innovation release.
For a team coordinating a fixed annual upgrade window, PostgreSQL’s public calendar is the simpler planning input. For a team that wants to stay on one conservative line with explicit limits on behavior changes, MySQL LTS is the safer fit. In both cases, a published date is not the same as a guaranteed application upgrade: your release process still has to absorb testing, extension compatibility, migration work and an approved rollback.
Release policies compared
| Decision factor | PostgreSQL | MySQL | What it means for planning |
|---|---|---|---|
| Major or feature cadence | New major version containing new features about once a year. | Two tracks: LTS for stability and Innovation for faster changes. | PostgreSQL offers one obvious annual event; MySQL requires choosing a track first. |
| Patch cadence | At least one minor release each quarter, targeted to the second Thursday of February, May, August and November; emergency releases can occur for critical issues. | No single universal patch-day promise in the cited manual; timing follows the selected release track and published releases. | PostgreSQL’s maintenance dates are easier to put on a calendar, but urgent security releases can still fall outside them. |
| Support horizon | Five years for each supported major version. | LTS: five years of premier support plus three years of extended support under Oracle’s Lifetime Support Policy. | MySQL LTS offers the longer documented lifecycle; PostgreSQL requires a major-version upgrade within five years. |
| Behavior changes | Minor releases are fixes; new features arrive in major releases. | After the initial LTS release, the LTS line does not remove features or introduce behavior changes; Innovation can change behavior. | LTS makes change boundaries explicit. PostgreSQL’s main boundary is the major-version upgrade. |
| Upgrade mechanics | Minor upgrades normally replace binaries and restart the server. Major upgrades use pg_upgrade or dump/reload. |
Permitted paths depend on the track and compatibility lineage. | Do not infer direct-upgrade compatibility from a version number alone, especially with MySQL. |
| Governance | Noncommercial volunteer community project. | Release policy maintained by Oracle. | Escalation, support contracts and change communication follow different organizational models. |
The comparison above describes documented policy, not measured operational performance. The available first-party material does not provide a cross-vendor statistic for release-date variance, average upgrade duration or production incident rates.
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How PostgreSQL schedules releases
Annual major versions
The PostgreSQL Global Development Group’s versioning policy says the project releases a new major version containing new features about once a year. The FAQ describes the practical pattern as a yearly release around September. PostgreSQL 18 was released on September 25, 2025. The roadmap listed PostgreSQL 19 as planned for October 2026, illustrating that the annual pattern is a planning target rather than a promise that every release lands on the same calendar day.
A major version is the point at which you should expect new capabilities and the upgrades that may require application validation. PostgreSQL’s policy does not treat a major release as a drop-in replacement at the data-directory level, so teams should reserve a migration window and test extensions, drivers, replication, backup tools and schema changes against the new version.
Quarterly minor releases
The roadmap aims for at least one minor release every quarter, targeted to the second Thursday of February, May, August and November. Minor releases contain frequently encountered bug fixes, low-risk fixes, security fixes and data-corruption fixes. Those fixes are designed to preserve compatibility within the major line, which is why the maintenance task is substantially smaller than a major-version move.
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Five-year support window
Each PostgreSQL major version is supported for five years. During that period, the project continues to publish bug and security fixes at least every three months. A team that adopts a version late in its life has less time before the next major upgrade than a team that adopts shortly after release, so record the version’s original release date in your lifecycle register rather than counting five years from your installation date.
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How MySQL’s two-track model works
LTS: a defined stability contract
The MySQL Reference Manual divides releases into Long-Term Support (LTS) and Innovation tracks. An LTS series follows Oracle’s Lifetime Support Policy: five years of premier support plus three years of extended support. That eight-year sequence is useful when procurement, regulated change control or a long-lived product requires a documented support horizon.
After the initial LTS release, the line contains only necessary fixes and does not remove features within that LTS series. The promise is narrower and more explicit than a generic statement that a release is “stable”: the line is intended to avoid behavior changes and feature removals that would force an application redesign during ordinary maintenance updates.
Innovation: faster movement, shorter commitment
Innovation releases are intended for fast-paced environments that can test and upgrade frequently. They can introduce behavior changes, and the documentation warns that those changes may affect SQL syntax, reserved words, query execution and performance. An Innovation release is supported only until the next Innovation release, so skipping a cycle can create an immediate support and upgrade problem.
This track can expose capabilities sooner, but it shifts predictability from the vendor’s calendar to your engineering discipline. Automated integration tests, query-plan checks, canary deployment and a short rollback path are prerequisites rather than optional enhancements.
Calendar versioning and compatibility lineages
Current MySQL documentation uses YY.M.P calendar versioning. For example, 26.7.0 denotes a July 2026 release. The number tells you when a release was made; it does not, by itself, guarantee that any older installation can upgrade directly to it.
MySQL defines compatibility lineages that constrain upgrade paths. Innovation releases can upgrade within their lineage. An LTS release can upgrade within its own lineage or into the immediately following lineage, while an LTS release cannot skip a lineage. Build those rules into your upgrade matrix and verify the exact supported path in the manual before scheduling production work.
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“Predictable” should be defined before you choose. The following distinctions prevent a calendar comparison from hiding a policy difference.
| If predictability means… | Advantage | Reason |
|---|---|---|
| Knowing the likely dates of routine patches | PostgreSQL | It publishes quarterly target dates and a stated annual major-release rhythm. |
| Knowing how long one line will be supported | MySQL LTS | The documented lifecycle is five years of premier support plus three years of extended support. |
| Limiting behavior changes during maintenance | MySQL LTS | After the initial release, the LTS line does not remove features or introduce behavior changes. |
| Separating fixes from feature releases | Both, with different boundaries | PostgreSQL puts features in major versions and fixes in minor versions; MySQL puts the strongest stability boundary inside LTS. |
| Keeping a single simple annual upgrade rule | PostgreSQL | There is one major-release concept rather than a decision between LTS and Innovation. |
| Getting the newest behavior quickly | MySQL Innovation | The track is explicitly designed for faster feature and behavior changes, at the cost of a short support interval. |
That is why there is no universal winner. A public calendar helps a release manager reserve dates; a stability contract helps an application owner bound what can change between those dates.
What an upgrade actually requires
PostgreSQL minor upgrades
For a minor upgrade within the same major version, PostgreSQL normally does not require a dump and restore. The usual sequence is to stop the server, install the updated binaries and restart it, subject to the release notes for that particular update. Plan a short outage or a controlled failover, confirm that extensions have compatible builds, and verify that replicas, connection pools and backup jobs reconnect successfully.
- Read the minor-release notes. Identify security notices, data-integrity fixes, extension requirements and any operating-system or packaging caveats.
- Rehearse on a representative copy. Use the same binaries, configuration, extensions, replication topology and backup tooling as production.
- Set the maintenance window. Include time to drain connections, stop cleanly, replace binaries, restart and run health checks.
- Upgrade and validate. Check server logs, replication lag, connection errors, scheduled jobs, backups and a representative set of application transactions.
- Keep a rollback plan. Preserve the previous packages and a tested restore or failover procedure; do not assume that stopping a failed upgrade is equivalent to rolling it back.
PostgreSQL major upgrades
Major changes are not backward-compatible at the data-directory level. Use pg_upgrade or a dump/reload process, then test application behavior and extension support. A major-upgrade project should include capacity for the old and new clusters, a rehearsal with production-sized data, a measured cutover, and a decision point for aborting if validation fails.
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Because major versions arrive annually, you can choose a cadence that avoids upgrading every year: adopt a version after its first minor updates, then move before the five-year support deadline. That trades some time on newer features for fewer change events.
MySQL LTS upgrades
Within an LTS line, maintenance updates are intended to preserve the feature set and behavior. You still need to read the release notes, test drivers and connectors, validate replication and backups, and confirm that your operating-system packages match the supported combinations. “No behavior changes” does not mean “no operational work”: security fixes can require restarts, and a fix can expose an application bug that tests did not cover.
When moving to another LTS line, map the permitted compatibility lineage first. If the target is not the immediately following lineage, plan an intermediate upgrade rather than assuming that the calendar-version jump is legal.
MySQL Innovation upgrades
Innovation requires a faster loop. Before each upgrade, run SQL-compatibility tests that exercise reserved words and syntax, compare query plans and latency, test replication and failover, and use a canary instance before changing the whole fleet. Because support ends with the next Innovation release, an organization that cannot repeat this process on a short cycle should select LTS instead.
A decision framework for different teams
Choose PostgreSQL when date transparency dominates
- Your change-management board needs named quarterly maintenance dates.
- You prefer one annual major-version concept rather than selecting between two release tracks.
- Your team can schedule a major upgrade with
pg_upgradeor dump/reload during the five-year support period. - You value a noncommercial, volunteer-governed project and can provide your own operational support or a separate support arrangement.
Choose MySQL LTS when lifecycle length and bounded change dominate
- Your product has a long maintenance horizon and benefits from five years of premier plus three years of extended support.
- Application owners need an explicit statement that features will not be removed or behavior changed within the LTS line after its initial release.
- Your organization can follow documented compatibility lineages and schedule occasional line-to-line upgrades.
- You want to avoid the short support interval associated with Innovation releases.
Consider MySQL Innovation only for a prepared fast-moving team
- You have automated tests for SQL syntax, reserved words, query plans and performance.
- You can deploy canaries and roll back quickly.
- You deliberately accept an upgrade cycle tied to the next Innovation release.
- The value of earlier features outweighs the additional validation and shorter support commitment.
Build an internal release policy instead of relying on vendor dates
Vendor policy is an input to your process, not the process itself. Use this sequence to turn either database’s lifecycle into predictable production work.
- Choose a support posture. Record whether your standard is PostgreSQL’s current major, MySQL LTS or MySQL Innovation. Do not let individual services choose silently.
- Maintain a lifecycle register. Track release date, support end date, installed minor level, extensions, connectors, operating-system packages and the next permitted upgrade.
- Define test gates. Require backup-restore verification, schema migration tests, representative transactions, replication or clustering checks, and application-level smoke tests.
- Reserve windows. Put PostgreSQL’s quarterly target Thursdays on the calendar, or reserve a recurring LTS maintenance window. Keep an emergency path for security releases.
- Separate patch and major projects. A minor or LTS maintenance update can use a standard runbook; a PostgreSQL major upgrade or MySQL lineage transition needs a project plan, rehearsal and stakeholder sign-off.
- Set exit criteria. Define acceptable error rates, replication lag, backup status, query latency and rollback triggers before the change begins.
- Review after each release. Capture actual outage time, failed checks and follow-up work so the next estimate is based on your environment rather than a vendor’s general policy.
Common planning mistakes and their fixes
- Treating a target date as a guarantee. PostgreSQL’s quarterly dates are targets, and emergency releases can occur outside them. Keep a buffer and a security-change procedure.
- Confusing a minor release with a major upgrade. PostgreSQL minor updates normally avoid dump/restore; major upgrades do not. Put the correct runbook behind each change type.
- Assuming MySQL calendar numbers prove compatibility. YY.M.P communicates release timing, while compatibility lineages determine whether a direct upgrade is supported.
- Calling every MySQL release “stable.” Stability expectations differ sharply between LTS and Innovation. Record the track in inventories, tickets and deployment tooling.
- Counting support from your installation date. PostgreSQL’s five-year period is tied to the major version’s lifecycle, not to when you installed it.
- Skipping extension and connector tests. The database server can be within policy while an extension, driver or ORM is not ready. Test the complete application path.
- Planning only the happy path. A predictable release includes a tested restore, failover or rollback route and clear abort criteria.
- Using vendor policy as an uptime promise. The published policies do not state your outage duration or incident rate. Measure those in rehearsals and production change reviews.
Practical recommendation
Start by writing down which kind of predictability your organization needs. If the answer is “I need to know when routine releases are likely to appear,” PostgreSQL’s annual and quarterly calendar is the clearer fit. If the answer is “I need one conservative line with a long support horizon and explicit limits on behavior changes,” select MySQL LTS and follow its compatibility-lineage rules. Use MySQL Innovation only when your testing and deployment system is designed for frequent upgrades. Whichever choice you make, pair the vendor schedule with an internal lifecycle register, rehearsed upgrades and an emergency security path; that is what turns a documented release policy into predictable delivery.
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