Linear vs Jira
Detailed comparison of capabilities, integrations, pricing, and governance
90/100
Linear
Linear — project management with Fast issue tracking with AI-assisted descriptions.
Quick Verdict
Linear excels at project management and growing teams with a score of 90/100.
89/100
Jira
Jira Product Discovery by Atlassian — product management with idea capture, scoring, and prioritization.
Quick Verdict
Jira excels at product management and large teams with a score of 89/100.
Capabilities & Controls
| Aspect | Linear | Jira |
|---|---|---|
| Planning Depth | Roadmaps/Timeline | Roadmaps/Timeline |
| AI Capabilities | General AI | General AI |
| Automation | Rules & workflows | Limited |
| Security | Standard | Standard |
Core Features Comparison
Linear Features
- Fast issue tracking with AI-assisted descriptions
- Automated project updates and summaries
- Workflows and roadmaps with programmable automations
- Keyboard-first UX for engineers
Jira Features
- Idea capture, scoring, and prioritization
- Customer feedback links and evidence
- Roadmaps tied to Jira Software delivery
- AI summaries and insights
Pricing & Value Analysis
| Aspect | Linear | Jira |
|---|---|---|
| Pricing URL | View Linear Pricing | View Jira Pricing |
| Overall Score | 90/100 | 89/100 |
| Best For | Project Management, Growing Teams, Strategic Planning | Product Management, Large Teams, Strategic Planning |
Best Use Cases
Linear Excels At
- Project planning and delivery
Jira Excels At
- Project planning and delivery
Integrations & Governance
| Category | Linear | Jira | Winner |
|---|---|---|---|
| Integrations | Robust | Robust | Tie |
| Governance | Standard | Standard | Tie |
| Overall Score | 90/100 | 89/100 | Linear |
The Bottom Line
Both Linear and Jira are capable AI PM tools. Linear scores higher and is stronger for project management and growing teams.
Choose Linear if: you prioritize project management and growing teams and want the higher-rated option (90/100).
Choose Jira if: you prioritize product management and large teams and prefer its feature mix despite a lower score.