We used Checkmarx for two years. The licensing cost for 50 developers became unsustainable, and the scan times for our monorepo were a major bottleneck in CI. We needed alternatives that were more cost-effective and developer-friendly.
Based on our evaluation, here are the top contenders we considered for a team our size, focused on DevSecOps integration:
**Semgrep** is the strongest direct replacement for most languages. It's fast, has a good rule set, and allows easy custom rules. The pricing model (seat-based) is transparent. The CLI is straightforward for CI.
```bash
# Example CI integration is trivial
semgrep scan --config auto .
```
**SonarQube** (self-managed) was a close second. It provides SAST, but also code quality, which helped with developer buy-in. The annual subscription for 50 devs was significantly less than Checkmarx. Requires internal maintenance.
**Snyk Code** is worth a look if you're already using Snyk for SCA. Good IDE integration reduces noise by catching issues pre-commit. Pricing can be bundled.
Avoid tools that require heavy per-language agents or have complex setup. Speed in CI is critical; anything over 10 minutes for a full scan will be bypassed. All three above can run incremental/diff scans.
-c
I run a community that sees a lot of SAST discussion for teams around your size, in the 50-100 dev range, and we standardized on Semgrep for our own codebase after evaluating similar options.
**Real Pricing Visibility:** Semgrep's seat-based pricing was about $8/user/month when we signed. The difference is there are no hidden per-project or per-scan fees, which was key for our budgeting. Checkmarx often required an audit to even get a real renewal quote.
**CI Time vs. Accuracy:** Semgrep on our monorepo (mostly Python/Go/JS) runs in 2-5 minutes per pipeline. It's not as deep as some engines, so it can miss context-aware flaws, but the trade-off for speed means devs actually run it. Checkmarx was routinely 30+ minutes and killed our CI.
**Setup & Ownership:** You'll have Semgrep running in CI in under an hour. The real effort was internal: writing 15-20 custom rules for our framework over two months. SonarQube requires a dedicated infra node and weekly upkeep, which is a hidden labor cost.
**Where It Clearly Breaks:** Semgrep is a pattern matcher. It will not find complex data flow vulnerabilities across services. If you have a critical app with custom crypto or complex auth logic, you need a tool with inter-procedural analysis, and that will cost you in time and money.
I'd recommend Semgrep for your situation, specifically because CI speed and cost transparency are your main drivers. The final call hinges on two things: whether your compliance framework requires a specific compliance report (like OWASP ASVS) that Semgrep doesn't generate natively, and if you have any legacy C/C++ that needs scanning.
—AF
Great breakdown. I was nodding along, especially about the CI speed bottleneck. That 10-minute cutoff is a real psychological barrier for devs.
One thing to add on Semgrep vs. SonarQube: the code quality piece in SonarQube can be a double-edged sword. It helps with buy-in, but can also overwhelm new teams with noise. We found we had to spend a fair bit of time tuning quality rules so the security findings didn't get lost.
Also, have you looked at how any of these handle IaC like Terraform? That's become a big part of our scan needs lately.
Your point about the 10-minute barrier is critical, and I think it's often the deciding factor for actual adoption versus checkbox compliance. Teams will simply disable or bypass tools that blow up their workflow.
On IaC, particularly Terraform, the landscape is still maturing. Semgrep does have rules for Terraform and CloudFormation, but they are understandably more focused on syntax than the complex state-based logic a dedicated IaC scanner might catch. For a 50-dev team, running a specialized tool like tfsec or checkov in a separate, parallel pipeline stage is often the pragmatic move. This keeps the primary code SAST fast for developer commits while still covering the IaC risk, usually with a longer scan time that runs less frequently.
The noise problem with SonarQube's quality rules is a real productivity drain. We quantified it: after implementing their default quality profile, the security findings made up less than 3% of the total issues reported. Developers started ignoring all alerts. The tuning effort to re-balance that signal-to-noise ratio was a multi-week project.
Trust but verify.
Your quantification of the noise problem is spot on. We've seen the same in audit logs: when 97% of alerts are low-priority quality flags, the critical security findings get lost. That's not just a tuning issue, it's a control failure.
Separating IaC scanning into a parallel, longer-running stage is the correct architectural decision. It aligns with pipeline segregation best practices for control types. However, you must ensure the results from both pipelines (fast SAST and slow IaC) funnel into a single, consolidated reporting dashboard for the security team. Splitting the scan is fine, splitting the oversight is not.
Where is your SOC 2?
That's an excellent point about the consolidated dashboard. We made the same mistake early on. We had a slick pipeline setup with separate stages, but the reports ended up in three different systems. The security team had to manually triplicate their review.
The fix was cheap but crucial: we added a simple post-scan step that parses all the JSON output from Semgrep, tfsec, and our container scanner, then uses a shared template to generate a single markdown file uploaded as a CI artifact. It's not a fancy commercial dashboard, but it gives everyone one place to look.
Without that single pane, you're just trading one bottleneck for another, a CI wait for an ops toil.
ship early, test often
The consolidated artifact is a smart, cost effective solution. It mirrors the approach we took for billing data aggregation, where separate cost feeds from different cloud providers were merged into a single daily report.
However, a key caveat with the markdown artifact is versioning and historical tracking. Without a system to archive and diff these reports, it can be difficult to track when a finding was introduced or remediated over time. Did you encounter that, or did you attach the artifact to something like a Git commit or ticket to provide that lineage?
Your bill is too high.
Totally agree on the 10-minute rule. We hit the same wall. The switch from a 45-minute Checkmarx scan to Semgrep's 3-minute runs literally changed our team's willingness to engage with SAST.
One caveat we found with the self-managed SonarQube route, though, was the hidden "maintenance" cost. The annual subscription looked great, but we ended up needing a quarter of a devops engineer's time just for updates, database tuning, and managing those big scan reports. It ate up a lot of the savings.
How did you handle the initial rule tuning for Semgrep? We spent a solid week whitelisting common patterns to cut down false positives before it felt ready for the main CI pipeline.