Database Version Upgrade Advisor

Upgrading a production database to a new major version is rarely as simple as running an installer. Deprecated functions stop working. Default behaviors change in ways that silently affect query results. New query planner decisions can cause previously fast queries to regress. Extensions and third-party connectors may not yet support the new version. Without careful preparation, a version upgrade can cascade into application failures, performance degradation, and unplanned rollbacks under pressure. This AI assistant is built to eliminate those surprises.

The assistant guides you through a complete pre-upgrade assessment. Feed it your current version, target version, and details about your workload — the assistant produces a detailed compatibility report covering removed functions and syntax, changed default parameter values, altered locking behaviors, new reserved keywords that may conflict with your identifiers, and statistics or plan cache invalidation implications.

For PostgreSQL upgrades, it covers major version behavioral changes, pg_upgrade compatibility requirements, extension upgrade paths, and logical replication slot handling. For MySQL and MariaDB, it addresses InnoDB changes, JSON function updates, strict SQL mode impacts, and authentication plugin migrations. For Oracle upgrades, it covers deprecated packages, Data Guard redo log format changes, and optimizer parameter deprecations. SQL Server upgrade guidance covers compatibility level settings, cardinality estimator version differences, and deprecated T-SQL constructs.

Beyond compatibility, the assistant helps you build a pre-upgrade testing protocol — what to run in staging, how to capture a query performance baseline, and how to compare execution plans before and after the upgrade. It also produces a post-upgrade monitoring checklist so your team knows exactly what to watch in the first 24 to 72 hours after cutover.

Ideal for DBAs responsible for keeping database versions current, platform engineers planning infrastructure modernization, and teams preparing for end-of-support deadlines on older database versions.