Per PR
Create isolated database environments for open pull requests.
Branch-per-PR Postgres
Replace shared staging conflicts with isolated, production-like database environments for each code change.
Vela helps teams test migrations, integration tests, and QA workflows against realistic Postgres data without copying a full database for every pull request.
Built for CI/CD workflows where data changes and code changes need to be validated together.
Per PR
Create isolated database environments for open pull requests.
COW
Use copy-on-write branches instead of full-size database copies.
CI-ready
Wire branch creation and cleanup into automated pipelines.
Prod-like
Test against realistic data without touching production.
Why It Matters
Application teams already isolate code changes with branches and pull requests, but the database often stays shared. That mismatch creates a fragile release path: migrations are tested against stale fixtures, QA environments drift, and shared staging becomes a bottleneck for every team.
Branch-per-PR gives the database its own version of the same workflow. Each change gets a dedicated Postgres environment so schema changes, data changes, and application behavior can be tested together without corrupting a shared database.
For platform teams, the value is repeatability. Instead of every team inventing its own staging reset, restore script, or CI database pattern, Vela turns database environment creation and cleanup into a standard platform workflow.
Where It Fits
Use this pattern when shared staging is slowing releases or hiding data-related defects.
Apply migrations to an isolated branch before they reach staging or production.
Run tests against data distributions that look closer to production than fixtures.
Give QA a stable database for one change instead of a shared environment that keeps drifting.
Workflow
Keep the workflow simple: create a branch, test the change, then delete the branch.
CI starts and requests a branch from the configured source database or bookmark.
The PR receives its own connection string so test writes stay isolated.
Developers and QA inspect the change without fighting shared staging drift.
The branch is deleted after merge or close according to your lifecycle policy.
Capabilities
The goal is not another test database. The goal is a repeatable database lifecycle for every change.
Automate create, connect, and delete operations from CI/CD.
Test query plans, constraints, migrations, and edge cases against realistic data.
Branches share unchanged data and only diverge as writes occur.
Set expectations for retention, access, and deletion so PR databases do not become sprawl.
For Platform Leaders
Branch-per-PR is a platform operating pattern. It standardizes how teams test database changes while keeping ownership, cleanup, and access rules explicit.
Talk to the Vela teamDecision Guide
The difference is isolation, freshness, and lifecycle control.
| Dimension | Shared staging | Dump / restore | Vela branch-per-PR |
|---|---|---|---|
| Isolation | Shared and conflict-prone | Isolated but slow | Isolated per PR |
| Data realism | Often stale | Depends on refresh process | Branch from production-like source |
| Setup model | Already exists but drifts | Copy and restore data | Create a branch through API |
| Cleanup | Manual resets | Manual deletion | Delete on merge or close |
| Best fit | Small teams | Occasional testing | CI/CD and QA at scale |
Related Paths
FAQ
It is a workflow where each pull request gets an isolated Postgres branch so code, migrations, and tests can run against a dedicated database environment.
No. Shared staging is one shared environment, while branch-per-PR creates an isolated database for each change.
Vela provides database branches and lifecycle workflows that can be automated from CI/CD pipelines.
No. It improves validation before production, but teams should still keep migration review, backup, and rollback practices.
Teams should define source databases, access rules, retention, branch cleanup, CI secrets, and migration test criteria.
Use Vela branches to make database testing repeatable without turning staging into the bottleneck.