Quick verdict
Linear wins for speed-focused product and engineering teams under roughly 200 people. It loads fast, stays out of the way, and ships with sane defaults instead of 47 configuration screens. Jira wins for large orgs, regulated industries, and teams already using Confluence, Loom, or Atlassian Analytics. Jira Standard is slightly cheaper per seat (roughly $7.75/user/mo annual vs. Linear Basic at $10/user/mo), but the real cost comparison flips once you factor in the Atlassian Guard Standard add-on required to unlock SSO on Standard and Premium tiers. Pick Linear if speed, UX, and team happiness matter more than ecosystem breadth. Pick Jira if you need cross-team planning, compliance controls, or the Atlassian toolchain in one subscription.
Linear vs Jira at a glance
| Tool | Best for | Starting price | Free tier | External rating |
|---|---|---|---|---|
Product and engineering teams under ~200 who want fast, opinionated issue tracking | $10/user/mo (Basic, annual) | Yes (unlimited members, 250 issues) | G2 4.5/5 (88 reviews) | |
Large orgs, regulated industries, and Atlassian-stack teams needing cross-team planning | $7.75/user/mo (Standard, annual, 1-10 user tier) | Yes (up to 10 users) | G2 4.3/5 (7,816 reviews) |
Feature comparison by criteria
| Criteria | Linear | Jira |
|---|---|---|
| Starting price (annual) | $10/user/mo (Basic) | ~$7.75/user/mo (Standard, 1-10 user tier) |
| Free tier | Yes (unlimited members, 250 issues, 2 teams) | Yes (up to 10 users, 2GB storage) |
| G2 rating | 4.5/5 (88 reviews) | 4.3/5 (7,816 reviews) |
| SSO / SAML | Enterprise tier only (custom pricing) | Requires Atlassian Guard Standard add-on; included in Enterprise |
| AI features | Linear Agent (beta) on all tiers incl. Free | Rovo AI (Search, Chat, Agents) from Standard; credits scale by tier |
| Atlassian ecosystem | Standalone (Zendesk and Intercom integrations on Business+) | Native Confluence, Loom, Atlassian Analytics, Marketplace |
| Configurability | Opinionated, fixed data model, limited custom fields | Infinite custom workflows, issue types, screens, fields |
| Uptime SLA | No published SLA by tier | 99.9% on Premium; 99.95% on Enterprise |
| Best for team size | 5-200, product and engineering focus | 10-100,000+, any engineering or cross-functional org |
| Standout strength | Speed, UX, keyboard shortcuts, low config overhead | Ecosystem depth, compliance controls, cross-team planning |
| Biggest weakness | Not configurable enough for complex process orgs | Setup overhead and learning curve for small teams |
| Our score (out of 10) | 9.1 | 8.6 |
Affiliate note: some links below are affiliate links and we may earn a commission at no cost to you. Rankings are never sold. Linear pricing verified live on linear.app/pricing (June 25, 2026) in USD. Jira pricing verified live on atlassian.com/software/jira/pricing (June 25, 2026) in USD. G2 ratings (Linear 4.5/5, 88 reviews; Jira 4.3/5, 7,816 reviews) are carried from our best-project-management listicle, where G2 was last verified May 25, 2026. See our methodology and disclosures .
The actual decision
Two very different philosophies of what issue tracking is for.
Linear is opinionated. The team at Linear decided that most of the complexity in Jira is incidental, not essential, and built a tool with a fixed data model, a fast keyboard-driven UI, and almost no configuration overhead. You open it and it works. Issues move through cycles, teams have projects, priorities are set. That is the whole model.
Jira is a platform. Atlassian built an infinite configuration engine: custom issue types, custom workflows, custom screens, custom fields, custom issue hierarchies. You can model almost any process your org uses. The Marketplace has thousands of add-ons. Confluence, Loom, and Rovo AI sit inside the same subscription. This power is real, and it costs real time to set up and maintain.
Engineering teams that switch from Jira to Linear typically describe giving up configuration depth in exchange for daily speed. That is the trade. You give up control. You get speed.
Whether that trade is right depends entirely on your team size, process complexity, and how much you value the Atlassian ecosystem.
Pricing reality
Both tools have a free tier that is more limited than it appears.
Linear Free is genuinely free with unlimited members, but it caps you at 250 issues and 2 teams. For a small startup tracking a single product, this works for months. The moment you hit the limit or need more than 2 teams, you move to Basic at $10/user/mo (annual) or $12 monthly. Business is $16/user/mo annual and unlocks private teams, triage intelligence, and the Linear Agent automations. Enterprise is custom pricing with SAML/SCIM.
Jira Free tops out at 10 users, 2GB storage, and 100 automation rule runs per month. It is genuinely useful for small teams. Paid tiers are billed annually in user-tier brackets, not per seat, which changes how the math works as you grow.
| Team size | Linear Basic (annual) | Jira Standard (annual) | Jira Premium (annual) |
|---|---|---|---|
| 5 users | $600/year | ~$450/year (est.) | ~$900/year (est.) |
| 10 users | $1,200/year | $900/year | $1,850/year |
| 25 users | $3,000/year | ~$2,250/year (est.) | ~$4,750/year (est.) |
| 50 users | $6,000/year | ~$4,125/year (est.) | ~$8,750/year (est.) |
Jira prices for tiers above 10 users are estimated from the bracket structure visible at atlassian.com/software/jira/pricing (June 25, 2026); exact annual prices depend on your user-tier bracket. Linear prices are USD per-user annual from linear.app/pricing (June 25, 2026).
The sticker says Jira is cheaper. But this is where the SSO trap lives.
Which tier you will really land on
The biggest non-obvious cost on Jira is SSO. Your security team will ask for it. The answer on Jira Standard and Premium is not “it’s included” - it is “you need to buy Atlassian Guard Standard as a separate subscription.” Guard Standard adds SSO, SCIM, Active Directory sync, and advanced mobile management. Only Jira Enterprise includes Guard Standard in the base price, and Enterprise requires 801+ users before Atlassian will even show you the price.
Linear gates SAML to Enterprise too, but at least the path is clear: if you need SSO, you are on Enterprise, full stop.
| Feature you need | Linear tier | Jira tier |
|---|---|---|
| Any issue tracking | Free | Free (up to 10 users) |
| Unlimited issues | Basic ($10/user/mo) | Free (but 10 user cap) |
| Private teams | Business ($16/user/mo) | Standard |
| Roadmaps/dependency planning | Business ($16/user/mo) | Premium (~$15.42/user/mo) |
| SAML SSO | Enterprise (custom) | Enterprise (custom) or Guard Standard add-on |
| Uptime SLA (99.9%) | Not published | Premium (~$15.42/user/mo) |
| AI Agent automations | Business ($16/user/mo, beta) | Standard (Rovo credits) |
| Advanced analytics | Enterprise (custom) | Enterprise (Atlassian Analytics) |
| Cross-team capacity planning | Not available | Premium (Plans feature) |
| Audit logs (user activity) | Not published per tier | Enterprise |
The Jira reveal: if your security team requires SSO below 801 users, you are buying Atlassian Guard Standard on top of your Jira subscription. That add-on has its own pricing. Many Jira evaluations skip this until procurement, then the deal stalls.
Pricing at 5, 25, and 100 seats
Here is what the annual cost looks like at three realistic team sizes on the most common paid tiers, before the SSO add-on.
| Scenario | Linear Basic | Jira Standard | Cheaper |
|---|---|---|---|
| 5 users | $600/year | ~$450/year | Jira by ~$150 |
| 25 users | $3,000/year | ~$2,250/year | Jira by ~$750 |
| 100 users | $12,000/year | ~$8,700/year | Jira by ~$3,300 |
Jira is cheaper on sticker at every size. But add the Atlassian Guard Standard subscription for SSO on Standard tier across 25 users, and the gap closes significantly. At that size with Guard Standard included, the real per-seat cost on Jira Standard often matches or exceeds Linear Business.
Run the real number with Guard Standard included before committing to Jira if SSO is on your requirements list.
Where each wins, where they are identical
Linear wins on speed. The UI is fast. Not “fast for a project management tool” fast, but actually snappy in a way that Jira has never been. Keyboard shortcuts cover most actions. Switching between projects, opening an issue, changing a priority, moving a cycle - all sub-second. This matters at the margins: developers who hate context-switching to update their tickets are more likely to actually update their tickets in Linear.
Linear wins on UX clarity. There is no configuration to learn beyond the basics. A new engineer can be productive in Linear in thirty minutes. Jira’s onboarding is longer, and the number of concepts (issue type schemes, workflow schemes, screen schemes, permission schemes) puts off engineers who just want to track their work.
Linear wins on the AI story for small teams. Linear Agent automations (beta as of June 2026) are available on Business tier and above. Triage Intelligence on Business helps sort incoming issues automatically. These are not just marketing features; they are live in the product across all tiers on the basic Agent platform.
Jira wins on configurability. If you need custom issue hierarchies, multi-level workflows with approval gates, complex permission models, or specific audit requirements, Jira can do it and Linear cannot. This is not a minor gap for regulated industries or large, complex orgs.
Jira wins on the Atlassian ecosystem. The Standard tier includes Rovo AI. The Marketplace has thousands of add-ons. Confluence for docs, Loom for async video, and Atlassian Analytics for cross-product reporting are all available in one subscription on higher tiers. If your org already runs these, adding Jira is incremental cost. Starting from scratch, it is a meaningful advantage.
Jira wins on cross-team planning. Advanced Plans (available on Premium) let you plan and track work across multiple teams and projects, manage capacity, model dependencies, and give stakeholders a cross-team roadmap. Linear does not have an equivalent. For a 10-squad engineering org, this is not a nice-to-have.
Where they are identical: both do agile sprints (Jira’s sprints, Linear’s cycles), both have GitHub and Slack integrations, both support board/list/timeline views, both run in the browser and mobile, both have reasonable API access.
Integration depth
Linear’s integration story is narrower by design. Native GitHub, GitLab, and Slack integrations are tight and work well. Business tier adds Zendesk and Intercom (important for product teams that want to link customer tickets to engineering issues). The API is solid and the developer experience is good.
| Integration need | Linear | Jira |
|---|---|---|
| GitHub (PRs, commits, branches) | Native, all tiers | Native + Atlassian-GitHub deep link |
| Slack | Native, all tiers | Native |
| Confluence (docs) | Not native | Native (same Atlassian subscription) |
| Zendesk / Intercom | Business+ ($16/user/mo) | Standard (native Jira Service Mgmt) |
| CI/CD pipelines | API / webhooks | Native Bamboo; Marketplace plugins |
| Figma | Native | Via Marketplace |
| Salesforce | Via API | Via Marketplace |
| Custom webhook | All tiers | All paid tiers |
| Marketplace add-ons | Not applicable | 5,000+ apps |
Jira’s Marketplace is not just breadth - it includes enterprise middleware connectors, compliance integrations, and ITSM tooling that Linear will never build natively. For teams with complex enterprise stacks, this is a real advantage.
Security and compliance
| Control | Linear | Jira |
|---|---|---|
| SOC 2 Type II | Yes | Yes |
| GDPR | Yes | Yes |
| SAML SSO | Enterprise (custom) | Add-on (Guard Standard) or Enterprise |
| SCIM user provisioning | Enterprise | Add-on (Guard Standard) or Enterprise |
| Uptime SLA | Not published per tier | 99.9% (Premium); 99.95% (Enterprise) |
| Audit logs | Not published by tier | Standard (site changes); Enterprise (user activity) |
| Data residency | Not self-hosted; US-based | Multi-region (Standard+) |
| IP allowlisting | Not published | Premium |
| HIPAA | Not certified | Not certified (Atlassian Cloud) |
Both tools target commercial engineering teams, not regulated healthcare or financial services. Neither is HIPAA-certified on the cloud product. For teams with data-residency requirements, Jira Standard includes multi-region data residency as a feature. Linear does not have an equivalent self-hosted option.
The compliance picture favors Jira for large org security teams, primarily because the feature set for access management (multi-IdP support, centralized audit logging, IP allowlisting) is richer at equivalent tiers.
Switching cost and lock-in
Linear’s exit story is relatively clean. Issues export via CSV or API. The data model is simple enough that rebuilding in another tool is not a major project. There is no proprietary workflow configuration format to recreate. The API is well-documented and third-party tooling exists.
Jira’s exit story is harder. Custom workflow schemes, permission configurations, screen schemes, and Marketplace app data do not export in any portable format. Rebuilding a heavily customized Jira instance in another tool is a genuine multi-week project. The deeper your Atlassian stack (Confluence space permissions, Loom video libraries, Analytics dashboards), the more painful the migration.
Both tools require annual contracts on paid tiers for the best pricing. Linear’s month-to-month is available at roughly a 20% premium (Basic at $12/user/mo vs $10 annual). Jira’s monthly pricing is available and runs roughly 17% higher than annual per the pricing page.
There is no multi-year lock-in at standard tiers on either tool, but the ecosystem dependency in Jira compounds over time in ways that Linear does not.
Vendor viability
Linear was founded in 2019, has raised over $52M, and is operationally focused - the team is small by design and the product has a strong reputation for shipping consistently. The customer roster (Vercel, OpenAI, Cursor, Ramp, Cash App - visible on the pricing page June 2026) is a strong signal for a Series B company. The risk is that Linear remains a challenger: it does not have Atlassian’s enterprise contracts, compliance certifications depth, or customer success infrastructure for 10,000-seat deployments.
Jira is Atlassian, a publicly traded company (TEAM on NASDAQ) with $4B+ annual revenue and 300,000+ paying customers globally. There is essentially no acquisition or viability risk. The product direction in 2025-2026 has been the Rovo AI integration across the product suite, and the shift to positioning Jira as an AI-powered project intelligence platform, not just an issue tracker. For organizations that need a 10-year vendor relationship, Atlassian is the lower-risk bet.
Support reality
Linear provides email support on paid tiers and priority support on Enterprise. There is no published response-time SLA below Enterprise. The community forum is active and the documentation is well-maintained. The team is accessible and responsive to feature requests, which is visible in their public changelog.
Jira’s support structure is tiered more explicitly. Free gets community support only. Standard gets 9/5 regional support with a 2-hour response time for critical issues. Premium gets 24/7 support for critical issues (1-hour response). Enterprise gets 24/7 support for all issues with a 30-minute response and a dedicated phone number. These are real SLAs from the pricing page (June 25, 2026), not marketing copy.
For a B2B team running Jira as mission-critical infrastructure, the Premium support tier is meaningful. Linear’s support is less formally tiered and leans more on documentation and community than on SLA-backed human response.
Best-for matrix
| You are… | Pick | Why |
|---|---|---|
| Startup or scaleup under 50 engineers | Linear | Fast setup, clean UX, no configuration overhead |
| Product team that hates Jira slowness | Linear | The UI speed difference is real and daily |
| Team with 200+ engineers and complex workflows | Jira | Cross-team planning (Plans), custom hierarchies, compliance controls |
| Team already on Confluence or Loom | Jira | Ecosystem integration in one subscription |
| Regulated industry needing audit logs and IP allowlisting | Jira | Native controls at Premium; Linear does not publish equivalent |
| Team where SSO is a hard requirement | Either (Enterprise tier) | Both gate SAML behind Enterprise or add-ons; build this into the evaluation budget |
| Multi-squad org needing cross-team roadmaps | Jira | Advanced Plans feature (Premium) has no Linear equivalent |
| Small team that needs zero training time | Linear | 30 minutes to productive; Jira onboarding takes days for custom workflows |
| Team that wants AI-assisted triage and automation | Linear | Linear Agent available earlier in the tier stack with less complexity |
| Enterprise buyer with a 3-year contract mindset | Jira | Atlassian’s enterprise support, compliance depth, and vendor stability are a lower-risk bet |
For more on how both tools compare across the broader developer tooling stack, see our best AI coding agents guide and the Cursor vs Claude Code comparison .
The verdict
Linear is the right choice for most product and engineering teams today. Not because Jira is bad, but because most teams do not need 80% of what Jira can do, and they are paying for that complexity in configuration overhead, onboarding time, and daily friction. If your team is under 200 people and your process is “sprints, priorities, and PRs,” Linear gets out of your way in ways Jira still does not.
Jira is the right choice once you genuinely need what makes Jira unique: cross-team planning with capacity management, the Atlassian ecosystem in one subscription, formal uptime SLAs, the full Marketplace, or enterprise compliance controls. The Premium tier is where Jira earns its keep for large orgs. The Standard tier is fine but does not justify the configuration overhead for a team that could use Linear.
The crossover is roughly 150-200 engineers. Below that threshold, Linear’s speed advantage and lower config burden typically outweigh Jira’s configurability. Above that threshold, and especially once you have multiple squads needing coordinated roadmaps, Jira’s Advanced Plans and ecosystem depth become genuinely load-bearing.
One honest note on Jira’s SSO pricing: if SSO is on your requirements list and you are below 801 users, neither tool gives you a clean answer. Build the Guard Standard add-on cost into your Jira evaluation from day one, or the deal will stall in procurement.
Affiliate disclosure: TopickZ may earn a commission when readers click links to Linear or Jira and become paying customers. This has no effect on our ratings or recommendations. Linear pricing verified live on linear.app/pricing (June 25, 2026) in USD. Jira pricing verified live on atlassian.com/software/jira/pricing (June 25, 2026) in USD. G2 ratings (Linear 4.5/5, 88 reviews; Jira 4.3/5, 7,816 reviews) are carried from our best-project-management listicle, where G2 was last verified May 25, 2026. See our methodology and full disclosures .
Frequently asked questions
Is Linear cheaper than Jira?
On sticker price, Jira Standard is slightly cheaper: roughly $7.75/user/mo at the 1-10 user annual tier versus Linear Basic at $10/user/mo. For a 10-person team, that is about $27/mo difference. The math changes when you need SSO. Linear gates SAML to Enterprise (custom pricing). Jira gates SAML SSO behind the Atlassian Guard Standard add-on on Standard and Premium tiers; it is only included in Enterprise, which requires 801+ users to even see the price. For a 25-50 person team that needs SSO, neither option is cheap, and both require a sales conversation. At sub-25 seats without SSO requirements, Jira is nominally cheaper. Above 25 seats or with SSO requirements, model the real all-in cost before deciding.
Can Linear handle enterprise-scale orgs?
With difficulty. Linear Enterprise is available (custom pricing, SAML/SCIM, advanced org modeling, account management), and companies like Vercel, OpenAI, and Ramp use it at scale. But Linear's opinionated data model means there is a ceiling on configurability. You cannot create arbitrary custom issue hierarchies or build the kind of multi-level workflow screens that large regulated orgs often require in Jira. If you need custom issue types, dozens of custom fields, complex approval workflows, or integration with a legacy ITSM stack, Jira is the safer call. Linear is fast and clean, but it earns that by making choices on your behalf.
How hard is it to migrate from Jira to Linear?
Linear provides a Jira importer that pulls issues, comments, attachments, and some workflow state mappings. The import itself typically takes under an hour for a 500-issue project. The harder part is the workflow redesign. Jira's custom statuses, screens, and issue type hierarchies do not map cleanly onto Linear's more constrained model. Teams that have heavily customized Jira often discover that their current Jira setup exists to work around Jira complexity, not to model their actual process, and Linear forces them to simplify. Budget two to four weeks for a real migration including team retraining, not just the data import.
Does Jira include AI in its standard pricing?
Yes, from Standard tier upward. Rovo Search, Chat, and Agents are included on Standard, Premium, and Enterprise plans. The difference is credit allocation: Standard gets 70 Rovo credits per user per month, Premium gets 150. Free tier gets 25 credits. The credits gate how much you can do with Rovo Agents before hitting limits. Linear includes Linear Agent (AI issue automation and triage, beta as of June 2026) across all tiers including Free, without a separate credit system.
Which tool is better for agile sprint teams?
Both are designed for agile workflows, but they handle it differently. Linear's sprint model is fast and opinionated: cycles (their term for sprints) are fixed-duration, auto-carry unfinished work, and do not require a scrum master to configure. Jira's sprint model is more flexible and integrates with Jira Advanced Plans for cross-team dependency management, capacity planning, and roadmapping across multiple squads. For a single product team that wants zero-friction sprints, Linear is faster to operate. For an org coordinating six engineering teams against a quarterly roadmap, Jira's planning tooling (on Premium) is more capable.
Does Jira have a vendor lock-in problem?
Yes, and it is worth naming directly. Jira's data model (custom workflows, screens, issue type schemes) is not portable to other tools in any standardized format. You can export issues to CSV or use the API to pull data, but recreating your workflow configuration elsewhere is a full rebuild. The Atlassian ecosystem dependency deepens this: if your team uses Confluence for docs, Loom for async video, and Atlassian Analytics for reporting, switching issue trackers means re-evaluating all of them. Linear exports data via CSV and API with no proprietary workflow format to rebuild, which gives it a cleaner exit story.