· linear / jira / project-management
Linear vs Jira 2026 — when to switch and when to stay
Linear is faster day-to-day and developers prefer it. It loses JQL filters entirely and has no multi-team validation at scale. Here is when the trade-off works.
By Ethan
1,841 words · 10 min read
If your Jira instance is slow, your developers resent it, and sprint ceremonies consume more time than the work they plan — you are the target audience for Linear. The migration is possible in a day, meaningful in a week, and painful in exactly the ways you should understand before you start.
Who this is for
Engineering managers and senior devs on Jira who are evaluating whether a switch to Linear justifies the disruption. If you are on Jira Free with fewer than 10 engineers and no compliance requirements, this comparison is more than you need — try Linear free for a week and trust your instincts.
How we tested
Data in this article comes from Linear and Jira Cloud documentation (Linear v2026.05, Jira Cloud Q2 2026), API documentation for both products, and published practitioner migration case studies. Jira pricing reflects the May 2026 public pricing page at 10-user seat count (Atlassian’s default calculator default); prices vary by team size.
Pricing
| Plan | Linear | Jira |
|---|---|---|
| Free | Unlimited users, 250 issues | 10 users, unlimited projects |
| Basic / Standard | $10/user/mo (billed yearly) | $7.91/user/mo |
| Business / Premium | $16/user/mo | $14.54/user/mo |
| Enterprise | Custom | Custom + Atlassian Access |
Jira is cheaper at both paid tiers: Standard at $7.91/user/mo versus Linear Basic at $10, Premium at $14.54 versus Linear Business at $16. The picture shifts at enterprise scale: Jira Enterprise requires Atlassian Access at $4/user/mo for SSO, SCIM provisioning, and audit logging. Linear includes all of that in its Business tier. At 100 engineers, that Access charge closes the gap — and flips it. Not a deciding factor on its own, but worth putting in the comparison.
Feature comparison
| Feature | Linear | Jira |
|---|---|---|
| Issue hierarchy depth | 3 levels (cycle → project → issue) | 6+ levels (Initiative → Epic → Story → Task → Sub-task) |
| Custom fields | Limited (labels, priorities, estimates) | Extensive (50+ field types) |
| Advanced queries | Basic filters only | Full JQL |
| Workflow automation | Built-in, limited triggers | Advanced Automation for Jira |
| GitHub integration | Native, bidirectional | Marketplace (GitHub for Jira app) |
| GitLab integration | Native | Marketplace |
| Board permissions | None (workspace-level only) | Full per-board permission schemes |
| Time tracking | None | Native worklogs + Tempo |
| Roadmaps | Cycles and Projects | Advanced Roadmaps (Premium) |
| OKR alignment | None | Jira Align (Enterprise) |
| Marketplace apps | ~65 integrations | 7,000+ apps (Atlassian Marketplace) |
| API surface | GraphQL only | REST v3 + GraphQL (Forge) |
| Keyboard-first UX | Core design principle | Available but secondary |
| Mobile apps | Native iOS/Android, actively developed | Functional but lower priority |
The structural read: Linear wins on developer UX and deep GitHub/GitLab integration. Jira wins on depth, enterprise controls, and ecosystem reach.
Issue hierarchy
This is where teams most often misjudge migration scope.
Jira supports six levels out of the box: Initiative → Epic → Story → Task → Sub-task → custom types. Many mid-to-large Jira installations extend this further through Advanced Roadmaps. That entire structure is a workflow dependency — QA gates, sprint planning views, and executive reports are often built on top of it.
Linear uses three levels: Cycle (sprint equivalent) → Project → Issue. Sub-issues exist but are a single shallow layer. You can organize with labels and projects, but the tree ends at depth two.
If your Jira board has 50 open Epics with nested Stories and linked Sub-tasks, that structure does not survive migration intact. The Linear importer brings issues over flat — you reconstruct parent-child relationships afterward using labels and projects.
For teams running a single product with a shallow backlog, Linear’s flat model is not a limitation. For teams managing multi-stream dependencies with cross-team hierarchy, losing those levels is a restructuring project, not a one-time annoyance.
Migration reality
Documented migration accounts report consistent speed gains across teams. Cotera’s migration log — 2,147 issues, 40 new issues weekly — measured bug-report creation at 11 seconds in Linear versus 48 seconds in Jira, with developer satisfaction jumping from 3.2 to 7.8 out of 10 after one month.9 The pattern across other published accounts is the same direction. The mechanism is clear: Linear’s keyboard-first UI removes the field-selection overhead that makes Jira issue creation feel like filling out a tax form.
What migrates cleanly:
- Issue title, description, and status
- Assignee (with Linear account mapping)
- Comments
- Priority labels
- Attachments
What does not migrate:
- JQL filters — complete loss, zero migration path
- Custom workflows and transition rules
- Per-state permissions
- Time tracking data (Worklogs)
- Advanced Roadmaps hierarchy
- Confluence page links
- Automation rules
JQL filters deserve a separate callout. Teams that built sprint queries, SLA monitoring, and release tracking in JQL will need to rebuild all of it from scratch. Linear’s filter system is not comparable to JQL — it supports basic property filters, not a query expression language. If your ops or engineering team runs JQL queries daily, plan for one to two weeks of re-instrumentation.
Timeline: The import itself takes hours. The real work is post-import triage: label normalization, status mapping, recreating workflow logic. Budget two to four weeks for a 2,000-issue migration to feel settled.
What you lose leaving Jira
Board-level permissions
Jira lets you lock specific boards, projects, and issue types to specific roles. A developer cannot see a Security board; a PM sees no infrastructure backlog. This is a hard requirement for organizations under compliance frameworks — SOC2, HIPAA, any workflow with data segregation obligations.
Linear has no per-board permissions. Members can see everything in a workspace. You can create separate workspaces as a workaround, but that fragments your tooling and breaks cross-workspace integrations. For most compliance requirements, separate workspaces are not a viable substitute for role-based visibility.
Time tracking
Jira ships native Worklogs. Tempo extends this into a full time-tracking and billing platform used heavily by agencies and professional services teams. Linear has no time tracking. The workaround is a third-party integration (Toggl, Harvest) with no bidirectional sync — hours tracked in the external tool do not surface in Linear’s reporting.
OKR alignment
Jira Align is Atlassian’s enterprise OKR layer — it connects team-level Epics to department OKRs to company-level goals. Linear has nothing comparable. If your engineering org reports up through OKR reviews tied to Jira data, that reporting layer needs rebuilding in a separate tool. That is a real ongoing cost, not a one-time migration task.
Marketplace reach
Jira’s Atlassian Marketplace lists over 7,000 apps total. Linear has approximately 65 integrations. If your workflow depends on a specific Jira app — Xray for test management, Elements for mind maps, Insight for asset tracking — check whether a Linear equivalent exists before you commit. For many specialist integrations, it does not.
GitHub and GitLab integration
This is where Linear wins by the largest margin.
Linear’s GitHub integration is native and bidirectional: create a branch from a Linear issue, and Linear auto-updates the issue status when a PR opens. Merge the PR, the issue closes. PR descriptions pre-populate from the issue title and description. Status changes in Linear reflect as PR labels in GitHub. No plugin installation, no webhook configuration, no pattern-matching rules to maintain.
Jira’s GitHub integration runs through the Atlassian GitHub App (GitHub for Jira). It works, but requires configuring branch-name patterns to match Jira issue keys, explicit trigger rules, and occasional manual resyncs when events queue. The sync is mostly one-directional in practice — GitHub events update Jira, but Jira rarely updates GitHub without additional configuration.
For teams where the GitHub-to-tracker feedback loop is central to daily work, Linear’s native integration alone is worth serious evaluation.
Linear’s GitLab story is identical: native integration, same bidirectional sync. Jira’s GitLab integration is a Marketplace app with comparable friction to the GitHub one.
Teams evaluating their full pipeline stack alongside this decision should read our GitHub Actions vs GitLab CI comparison.
API for internal tooling and AI agents
For teams building internal tools on top of their project tracker:
- Linear: GraphQL API only. Schema is clean, stable, and well-documented. Webhooks cover all entity mutations. Mutation patterns are consistent across entity types — create, update, archive, delete follow the same shape regardless of resource.
- Jira: REST API v3 plus a GraphQL layer via Forge. REST is mature with broad SDK coverage and community tooling. Forge is newer and less consistent across endpoints.
Neither is a blocker for automation. If you are building an agent or internal tool that creates and updates issues programmatically, both work. Linear’s GraphQL surface is cleaner to traverse; Jira’s REST API has more example code and community tooling available.
For teams building AI-powered internal tools, our MCP vs REST deep-dive covers how the protocol landscape affects tooling choices.
Verdict
| Team profile | Pick |
|---|---|
| Startup, ≤10 engineers, no compliance requirements | Linear. The free tier covers you. Setup is fast, and the keyboard-first UX will feel faster from day one. |
| Scale-up, 10–100 engineers, single product | Linear, with caveats. Works if hierarchy depth is low and you do not need board-level permissions. Audit your Jira app list before committing — if Xray, Tempo, or a compliance plugin is load-bearing, that changes the math. |
| Enterprise, 100+ engineers, compliance obligations | Stay on Jira. Board permissions, native time tracking, Jira Align, SOC2 audit logging, and Atlassian Access are not replaceable in Linear at this scale. |
| Agency or professional services | Stay on Jira. Tempo time tracking for client billing is not something Linear can substitute. |
| Developer tools or open source team | Linear. The GitHub integration, keyboard speed, and developer satisfaction data all point the same direction. |
One structural consideration: Linear’s multi-team scaling has less real-world documentation at 20+ teams than Jira does at comparable size. Jira handles 50+ teams without structural friction. If you are planning for growth to a large multi-team organization in the next 18 months, that gap in evidence belongs in your evaluation.
Caveats
Linear’s multi-team scaling at large counts is not documented by Linear Inc — the Business plan allows unlimited teams, but published real-world reports at 20+ teams are sparse. Speed and satisfaction gains cited here come from published migration case studies, not controlled experiments. This article did not run toolchew’s own migration benchmarks.
Neither Linear nor Jira runs an affiliate program. No monetization relationship exists for either product here.