What is Peer Review?
Definition
A useful peer review for a database change looks at more than syntax: whether the change matches what it claims to do, whether it includes a rollback for anything destructive, whether it follows naming and structural conventions, and whether it's likely to have side effects, like blocking other operations, on the target environment. This kind of review works best when it happens through the same mechanism as an application code review, a pull request, rather than as a separate, informal conversation. A ChangeSet reviewed in a pull request has a visible record: who reviewed it, what they commented on, and when it was approved, which a hallway conversation about a database change usually doesn't produce.
Why peer review matters
A second set of eyes catches problems the author, close to their own change, is likely to miss: an assumption about the current schema that's no longer accurate, a change that works in isolation but conflicts with something else in flight, or a destructive operation without a rollback plan attached. For database changes specifically, mistakes are often harder to reverse than a code bug, which raises the value of catching them before they deploy rather than after. It also spreads knowledge of the database across a team, rather than concentrating it in whoever happens to write the most changes, which matters when that person is unavailable during an incident.
How peer review works for database changes
When a database change is written as a ChangeSet inside a version-controlled ChangeLog, it can go through a standard pull request: a reviewer sees exactly what's changing, can comment on specific lines, and approves or requests changes before it merges. This makes the review visible and recorded, rather than a conversation that happened once and left no trace. Review checklists for database changes typically look for a rollback plan, adherence to naming conventions, and awareness of how the change will behave against existing data, not just whether the syntax is correct.
How Liquibase helps
Because Liquibase ChangeSets live in the same repository as application code, they go through the same pull request and review process, without a separate database-specific review tool. Liquibase Secure can require a policy check to pass, or a specific approver to sign off, before a ChangeSet is eligible to deploy, so peer review becomes an enforced gate rather than an optional step someone might skip under deadline pressure, and because the review happens before deployment rather than after, problems get caught while they're still cheap to fix rather than after they've already reached a shared environment.
