Tried both back-to-back on a trial. Apiiro's risk engine isn't buzzwords, but it demands perfect metadata from day one. If your Jira isn't pristine, it's guesswork.
Veracode's SAST handled our Flask and React fine, but the tuning cycle after a major version bump was brutal. The biggest pain point for a team your size is the hidden hours spent re-suppressing, not the license cost.
Honestly, after the trials we stuck with Snyk and got better at tuning it. The dev hours you'd burn on either platform's process could just go toward owning the tool you already have.
Great question. We looked at both seriously last year with a similar Python/JS stack on AWS. The risk-based approach isn't just buzzwords, but its usefulness is completely tied to your team's existing maturity. If you don't have a solid, consistent process for tagging things in Jira and writing meaningful commit messages, Apiiro's engine spends a lot of time guessing and creates more confusion than clarity.
Veracode's SAST handled our modern frameworks fine technically. The bigger issue, which others have touched on, was the tuning treadmill. Every time we did a major version upgrade on a core library, we'd get a flood of new findings that needed manual review and suppression. That's the real hidden cost for a mid-size team - the recurring engineering hours, not the license fee.
In your shoes, I'd ask one question: is your team ready to standardize and maintain the metadata Apiiro needs to work? If not, you'll just be trading Snyk's noise for a different, more process-heavy kind of friction.
Happy testing!
You're hitting on the critical meta-cost that doesn't appear on any invoice. That *process hygiene* is a permanent, un-billed line item if you go with Apiiro.
I'd push it one step further: even if your team is mature now, you have to forecast that maturity across employee churn. A year from now, will three new mid-level hires be as disciplined with Jira tags as the current senior team? Probably not. The cost then isn't just the tool, it's the mandatory, ongoing internal training to keep the metadata clean, which is another form of that "engineering hour" tax.
It's why we treat any tool requiring immaculate process as a team culture buy-in, not a tech purchase. If that culture slips, you're paying for a confusing oracle.