CRA Compliance Tools Compared: LinearB vs Jellyfish vs Swarmia vs Concordance

Why This Comparison Matters Now

September 11, 2026. That's when the CRA (Cyber Resilience Act) vulnerability reporting obligations take effect for all manufacturers of products with digital elements sold in the EU market. Full design requirements follow in December 2027. Engineering teams thought their only job was shipping features and hitting velocity targets. Now they're discovering something more urgent: regulators care about HOW engineering practices build secure, resilient software.

Engineering leaders are scrambling. They're reaching for the tools they know — LinearB, Jellyfish, Swarmia. These are solid platforms for what they do: they measure developer productivity, cycle time, and DORA metrics. But here's the problem: none of them address compliance requirements at all. They measure speed. Regulators demand evidence of secure-by-design practices, 24-hour vulnerability reporting, SBOMs, and supply chain security.

This comparison isn't about which tool is "better." It's about understanding a critical gap in the engineering intelligence market. Most tools measure productivity. Only one maps engineering practices to regulatory requirements.

What CRA Requires from Engineering Teams

CRA is not about speed. It's about resilience. The regulation demands evidence that your engineering organization has implemented practices across the full SDLC that reduce risk and build secure software.

Specifically, CRA compliance requires:

• Secure-by-design evidence: Proof that security requirements are being defined upfront, not bolted on at the end.
• 24-hour early warning: Within 24 hours of becoming aware of an actively exploited vulnerability or severe incident, you must submit an early warning to ENISA and your national CSIRT.
• 72-hour incident notification: Within 72 hours, a detailed assessment including severity, indicators of compromise, and affected products must be submitted to authorities.
• 14-day final report: A comprehensive final report including root cause analysis, remediation measures taken, and impact assessment.
• Software Bill of Materials (SBOM): Ability to generate and maintain SBOMs for all critical components.
• Supply chain security: Evidence of secure dependency management and third-party risk assessment.

The Comparison

Here's how these platforms stack up on what actually matters for CRA compliance:

The Compliance Gap in Engineering Intelligence

LinearB is built around cycle time and developer productivity. Great if you want to answer: "How fast are we moving?" Jellyfish focuses on resource allocation and engineering management. Great for capacity planning. Swarmia delivers DORA insights and team health signals. All valuable. But none of them can answer the regulatory question: "Do our engineering practices evidence secure-by-design development?"

Why? Because productivity metrics and regulatory compliance operate in different semantic spaces. A team with high deployment frequency (which DORA celebrates) could still be shipping without security testing. A team with low cycle time could still lack incident response documentation. Metrics about speed don't translate into evidence about resilience.

Compliance requires a different layer of analysis. It needs to measure engineering practices across the full SDLC — from requirements definition through operations — and map those practices directly to regulatory requirements. It needs to answer: "Are we doing secure-by-design?" "Can we demonstrate 24-hour vulnerability disclosure?" "Do we have evidence of supply chain security?"

This is what the productivity tools miss. They're measuring the wrong dimension.

What Concordance Does Differently

Concordance was built from the ground up to translate engineering data into compliance evidence. It does three things fundamentally differently:

1. Translation Layer: Engineering Data → Compliance Evidence

Concordance reads the same engineering data other tools read (git commits, PR reviews, test coverage, deployment logs, incident tickets). But instead of computing velocity or cycle time, it asks: "Does this evidence demonstrate secure-by-design practices?" "Does this show 24-hour vulnerability detection capability?" The result is a direct mapping between engineering practices and CRA requirements.

2. Deterministic Scoring = Auditable = Compliance-Ready

Every score in Concordance is deterministic, rule-based, and explainable. When you get a score of 4.2 on "Secure Requirements Definition," you can drill down and see exactly which practices contributed to that score and why. This is critical for compliance. Regulators don't want black-box metrics. They want evidence they can understand and challenge. Concordance gives you that.

3. Pricing That Scales with Compliance, Not Headcount

LinearB and Swarmia charge per seat. Jellyfish quotes enterprise pricing. As your organization scales, so does the cost — sometimes to tens of thousands per month. Concordance charges $99/month flat for up to 5 teams and 20 repositories. This is not a productivity tool optimized for upsell. It's a compliance tool optimized for evidence at scale.

Which Tool Is Right for You?

This isn't either/or. These are complementary tools operating at different levels:

Choose LinearB, Jellyfish, or Swarmia if: You need to measure developer productivity, cycle time, and team velocity. You're trying to optimize for speed and see where bottlenecks form in the SDLC. These tools are excellent at that problem.

Choose Concordance if: You need to demonstrate compliance with CRA, NIS2, SOC2, or ISO27001. You need to translate engineering practices into regulatory evidence. You need auditable, deterministic scoring that you can defend to regulators. You want a flat-rate model that doesn't blow up your budget as you scale.

Choose both if: You're a large organization that needs both productivity insights AND compliance evidence. Many teams use both. But if you're choosing based on budget, understand the gap: a productivity tool will not get you to CRA compliance. You need a compliance-focused tool for that.

The Real Cost of Missing This Gap

If you're betting on a productivity tool to solve your compliance problem, you're facing two risks:

Risk 1: Compliance Failure You can't demonstrate to regulators that your engineering practices evidence secure-by-design development. You're scrambling last-minute to gather evidence, writing it by hand, and hoping your auditors don't ask hard questions.

Risk 2: Operational Friction As you scale, per-seat pricing becomes unsustainable. You're paying tens of thousands for a tool that doesn't solve your actual problem. You're maintaining two separate systems for two different data dimensions, creating operational overhead.

September 2026 is not far away. If you're not actively addressing CRA compliance now, you're betting on a last-minute push. That never goes well.