Compare · SonarQube
Proof vs SonarQube: quality gates and behavioral evidence
SonarQube evaluates code quality and security against a configured policy. Proof connects requirements to the evidence reviewers need after a change. Compare the scope of the decision each result supports.
A quality policy and a product requirement answer different questions
SonarQube Server evaluates code-analysis results against quality-gate conditions. Its documented metrics include security, reliability, maintainability, duplication and test coverage. It also imports coverage and test-execution reports from the build. Review the imported test evidence alongside the analysis findings.
Proof connects authored requirements to implementation, evidence and known issues, then evaluates configured checks over that record. This helps reviewers ask whether the evidence supports a particular behavioral promise after a change. It does not make every requirement executable or establish correctness from a trace link.
This page compares the documented SonarQube Server workflow. Confirm your edition, language support, analysis mode and gate configuration before using the comparison for a purchasing decision.
Compare the work you need to do
Use the same repository change and acceptance criteria in each evaluation.
| Evaluation question | SonarQube Server | Proof |
|---|---|---|
| What does the policy evaluate? | Conditions on analysis metrics for new or overall code, including issues and coverage. | Selected requirement, traceability, evidence and workflow predicates for the configured project. |
| Where do test results come from? | External test and coverage tools produce reports that SonarQube imports. | Proof’s tests_pass check can invoke the configured test command and collect its results. The executed example uses full-command mode to avoid an empty affected-test plan. |
| What does a passing result mean? | The configured quality-gate conditions were satisfied for the analyzed scope. | The selected checks passed for their inputs and scope. Review skips, exclusions and unresolved evidence gaps. |
| How should the tools be evaluated? | Inspect detected issues, imported results and the gate decision on the candidate revision. | Follow one changed requirement to code, an adequate assertion, observed results and its acceptance decision. |
A covered cancellation path can still charge the customer
Illustrative evaluation: a subscription service promises that cancellation before renewal prevents the next charge. A refactor changes how scheduled jobs read the cancellation state.
A test can execute the cancellation handler and increase coverage while asserting only a successful response. The behavioral test must also advance to the renewal boundary and inspect the billing outcome. Include the competing job schedule or transaction ordering that makes the change risky.
Run the project's SonarQube analysis and inspect its actual findings and gate conditions. Independently inspect the requirement and the assertions needed to establish this promise. In a Proof trial, connect those artifacts, retain the observed results and examine what the next scheduler change makes relevant to review. Do not predict either product's findings without running the evaluation.
Preserve the quality controls that already work
Choose SonarQube when your immediate need is repeatable code-quality and security analysis with an organization-wide quality policy. Evaluate Proof when the difficult work is retaining product-specific obligations and assessing the evidence attached to changes.
These can be complementary. A release review can require the SonarQube gate and separately inspect requirement evidence. Document which decision each result supports. Proof's own audit fail level defaults to warn unless configured otherwise; do not assume warnings are nonblocking or that a tool result automatically configures repository merge protection.
Sources and comparison scope
Official documentation checked October 3, 2026: SonarQube Server 2026.1 quality gates and coverage and test-execution reporting. This is a workflow comparison, not an analysis-accuracy benchmark or a claim that a quality gate establishes release safety.
Evaluate Proof on your own evidence
Bring a requirement, a changed implementation and the test or coverage report your team currently relies on. We can identify which assertions support the promise and what a repository trial should retain for later changes.