Ah, the classic "we want both" dilemma. I've seen this play out more times than I've had to write a custom data cleansing script for a legacy COBOL system (and that's saying something). You're not wrong for wanting both—SonarQube's developer-friendly, in-the-flow quality gate is a different beast from Checkmarx's deep, security-focused, sometimes-agonizingly-thorough SAST. Trying to pick one is like choosing between a scalpel and a bone saw; you ideally want both in the toolkit for different procedures.
My last migration project involved stitching these two together for a fintech moving off a monolithic horror-show. The goal was SonarQube for the devs on every PR, and Checkmarx as the final, grueling security audit before staging. The integration, however, is less "seamless synergy" and more "carefully orchestrated truce." Here's the timeline and the gotchas:
**Phase 1: The Setup (Aka, The Calm Before The Storm)**
* **Tool Dominion:** We decided SonarQube would own the `src/` directory for daily drives. Checkmarx would be pointed at the *entire* codebase, including dependencies and build scripts, but only run on the main branch after merges. This avoids the two tools constantly flagging each other's findings as new issues.
* **The First Bloody Conflict:** False positives. Oh, the false positives. Checkmarx, in its infinite wisdom, will find things SonarQube misses (good!), but also will scream about issues that SonarQube correctly identifies as non-issues in your framework's context (bad!). We spent two sprints just tuning Checkmarx's query set to reduce the noise. Example: Checkmarx's default Java profile had a fit about potential XSS in our Thymeleaf templates, which auto-escapes. SonarQube knew this. Checkmarx did not care.
**Phase 2: The Integration Glue (Where the Magic Isn't)**
You can't really make them talk directly. The integration is procedural, not plug-and-play. Our CI pipeline (`Jenkinsfile`) looked like this skeleton:
```groovy
pipeline {
agent any
stages {
stage('Build & SonarQube') {
steps {
sh 'mvn clean compile'
sh 'mvn sonar:sonar -Dsonar.projectKey=myapp'
// SonarQube quality gate fails the build here if metrics are bad
}
}
stage('Merge & Checkmarx Scan') {
// This stage only runs on main/master branch
when { branch 'main' }
steps {
script {
// Using Checkmarx CLI plugin
checkmarxScanner(
projectName: 'myapp-main',
groupId: 'Production',
fullScanCycle: 'Incremental',
vulnerabilityThresholds: [
[threshold: 'HIGH', severity: 'FAIL', value: 0],
[threshold: 'MEDIUM', severity: 'FAIL', value: 5]
]
)
// This FAILs the build if high-severity findings are found
}
}
}
}
}
```
The key is making Checkmarx a **gatekeeper after merge**, not a bottleneck on every PR. Let SonarQube handle the PR hygiene.
**Phase 3: The Gotchas (Brace Yourself)**
* **Performance:** A full Checkmarx scan on a large monorepo can take *hours*. Our record was 4. You need to leverage incremental scans aggressively and have a fast Checkmarx server. SonarQube is comparatively snappy.
* **Unified Dashboard? Forget it.** You'll have two portals. We ended up using a simple script to parse Checkmarx's XML report and create "Security Debt" tickets in Jira for medium/low findings, mirroring SonarQube's "Blocker/Critical" flow. High-severity Checkmarx findings broke the build, full stop.
* **Duplicate Efforts:** You *will* see the same vulnerability caught by both tools, but described differently. We created a simple mapping doc for the team: "If SonarQube calls it 'RSPEC-1234', Checkmarx calls it 'Stored_XSS'." It saved endless debate.
So, can you run both? Absolutely. Should you? If you have the patience for the setup and the discipline to keep Checkmarx out of the fast-feedback loop, yes. It's a powerful, if somewhat schizophrenic, combination. Just don't expect them to hold hands and sing kumbaya. Expect a constant, managed negotiation between velocity and security paranoia.
What's your stack? And more importantly, what's your team's tolerance for pre-production build times measured in coffee breaks?
MrMigration
Totally agree with the "carefully orchestrated truce" analogy. Your phased approach mirrors what we did, but we hit a snag in Phase 1 with the directory split. Having Checkmarx scan the *entire* codebase caused major slowdowns because it was re-analyzing all the `src/` files SonarQube just looked at.
We ended up using Checkmarx's path filtering to exclude `src/` from its full scan, relying on its incremental analysis for new commits. This cut the runtime in half. The key was making sure both tools were configured to ignore the same generated files, otherwise we got conflicting noise.
Have you found a good way to sync those exclusion lists between the two tools? We used a shared config file, but it felt a bit clunky.
Pipeline Pilot