I Ran Linear and Jira for 6 Months — Here's What Each Actually Costs

Why This Test Exists

Most "Linear vs Jira" comparisons are written by people who signed up for free trials, clicked around for an afternoon, and published a feature matrix. I ran both tools simultaneously with a 45-person engineering team for six months. Real projects, real sprints, real money.

The context: I was leading engineering at a mid-market SaaS company with four product squads, a platform team, and a shared QA function. We'd been on Jira Cloud for three years. The team was increasingly frustrated — slow UI, byzantine admin workflows, and a growing pile of marketplace plugins that nobody could explain the purpose of. Linear kept coming up in hallway conversations.

Rather than making the jump based on vibes, I set up a parallel run. Two squads migrated to Linear on day one. The other two stayed on Jira. The platform team used both, creating issues in whichever tool matched the requesting squad. After six months, I had real data — not feature checklists — on what each tool actually costs.

This article is the TCO analysis I wish I'd had before starting. It covers the line items most comparisons skip entirely: marketplace app spend, admin overhead, migration labor, and the productivity delta that shows up in cycle time metrics. If you want the methodology behind how we test SaaS tools, that's documented separately in how we test SaaS tools.

The Sticker Price Is Misleading

Let's start with what's on the pricing pages. Both companies publish clean, per-user-per-month tables. Both tables are incomplete in ways that matter.

Linear Pricing (as of April 2026)

Linear's pricing is straightforward. The product you see is the product you get. No marketplace, no add-ons, no surprise line items. The jump from Basic to Business is about SSO and compliance features — if you need SAML, you're paying $16.

Jira Pricing (as of April 2026)

Jira's base pricing looks competitive — $8.15/user/mo undercuts Linear's $10. But the base pricing page doesn't include the things most Jira teams actually pay for. That's where the real math starts.

All pricing figures are based on published pricing pages as of April 2026. Atlassian uses tiered pricing that decreases per-user cost at scale — the $8.15 figure is the approximate rate for teams of 50-100 users.

The Hidden Costs Nobody Puts in the Spreadsheet

Here's what our Jira deployment actually cost, beyond the per-seat license.

Marketplace Apps: $3-8/user/mo in Add-On Spend

Jira's marketplace is simultaneously its greatest strength and its most expensive trap. The platform is intentionally modular — features that competitors ship as core functionality live behind marketplace installs in Jira.

Our 45-person team's marketplace stack:

Not every team runs this stack. But community-reported data from Atlassian Community forums and the r/jira subreddit consistently shows mid-size engineering teams spending $3-8/user/month on marketplace apps. We were on the higher end because of Tempo and BigPicture, but I've seen teams spend more.

Linear includes time tracking (via cycles), roadmaps (via projects), and automation (via workflows) in the base product. No marketplace. The feature set is smaller, but you're not paying for gaps in the core product through third-party add-ons.

Confluence: The Quiet Bundling Tax

Jira teams almost always run Confluence alongside it. Atlassian's pricing encourages this — the integration is deep, the bundle discount is real, and once your Jira workflows reference Confluence pages, you can't easily uncouple them.

Confluence Standard runs approximately $6/user/month. For our 45-person team, that's $270/month or $3,240/year. It's rarely counted in "Jira cost" because it shows up on a separate line item in the Atlassian bill, but it's functionally part of the same system.

Linear doesn't have a built-in wiki. Most Linear teams use Notion, Slite, or their existing docs tool. The point isn't that Linear is cheaper because it lacks a wiki — it's that Jira's cost calculation should include Confluence if your team uses it, and most do.

The Jira Admin: A Full-Time Job

This is the cost nobody talks about in pricing comparisons because it doesn't appear on a vendor invoice.

Our Jira instance required a dedicated admin. Not officially — we didn't have a "Jira Administrator" job title. But one senior engineer spent roughly 30% of their time maintaining Jira: configuring workflows, troubleshooting marketplace app conflicts, managing permission schemes, cleaning up custom fields, and handling upgrade migrations. At their salary, that's $36,000-45,000/year in Jira admin overhead.

At companies with 200+ Jira users, the dedicated Jira admin is a real, full-time position. Salaries for this role range from $90,000-$130,000+ depending on market, based on job postings on LinkedIn and Indeed. That's a six-figure line item that never appears in the "Jira vs Linear" cost comparison.

Linear requires near-zero admin maintenance. Workspace setup takes an afternoon. Ongoing configuration changes are infrequent and handled by any team lead. In six months of running Linear, we spent fewer than 10 hours total on administration. The opinionated design that frustrates power users is the same design that eliminates admin overhead.

Training and Context Switching

New engineers joining our Jira-using squads took 2-3 days to become productive with the tool. Not because Jira is complicated in theory, but because our instance had accumulated years of custom workflows, fields, and conventions that weren't documented anywhere except in tribal knowledge.

New engineers joining Linear squads were productive within hours. Linear's opinionated design means there's less to learn — fewer configuration options means fewer "how do we do it here?" questions.

The context-switching cost is harder to quantify but real. Engineers on the platform team who used both tools reported constant friction switching between the two UIs. Keyboard shortcuts conflicted. Status terminology differed. The mental overhead of maintaining two mental models for "where is my work?" was a consistent complaint in our retrospectives.

Migration Costs Are Real

The cost comparisons that pretend you can just flip a switch from Jira to Linear are doing you a disservice. Migration has real costs that belong in any TCO analysis.

Data Export and Import: 1-2 Weeks

Linear's Jira importer handles the mechanical part: issues, comments, labels, attachments. For our 12,000-issue Jira backlog, the import itself took about 4 hours. But cleaning the data beforehand took a week.

Jira backlogs accumulate cruft. We had 3,400 issues in statuses that hadn't been used in over a year. Custom fields that referenced deprecated workflows. Labels created by former employees for projects that no longer existed. You can import all of it into Linear, but you'll create a mess. We spent a week triaging the backlog before migration — archiving dead issues, consolidating duplicate labels, and documenting which custom fields actually mattered.

Workflow Reconfiguration: 1-2 Weeks

Jira lets you build arbitrarily complex workflows. Our "standard" engineering workflow had 11 statuses, 23 transitions, and 4 conditional validators. Linear's workflow model is simpler by design: Backlog → Todo → In Progress → Done, with optional sub-statuses.

Mapping our Jira workflows to Linear's model took two weeks of meetings with squad leads. The debates weren't about Linear's capabilities — they were about which of our workflow steps were actually necessary and which were process theater. In retrospect, the migration forced a healthy workflow simplification that we should have done years earlier. But it was real work with real calendar time.

Integration Rebuilds: 1-2 Weeks

We had 8 integrations touching Jira: GitHub PR linking, Slack notifications, CI/CD status updates, PagerDuty escalations, a custom deployment tracker, Confluence page links, a customer feedback pipeline from Intercom, and a time-tracking integration with our finance system.

Linear natively covers GitHub, Slack, and Sentry. The remaining five integrations required rebuilds — some using Linear's API, some using Zapier as glue. Each integration took 1-3 days. The deployment tracker was the most painful: it was a custom Jira plugin that read workflow transitions, and rebuilding it as a Linear webhook consumer took a full week.

Total Migration Effort

For our 45-person team with a 3-year Jira history: approximately 3 engineer-weeks of effort spread across 6 calendar weeks. At a blended engineering cost of $85/hour, that's roughly $10,200 in migration labor. Not catastrophic, but not zero — and it needs to be part of the ROI calculation.

Your mileage will vary. Teams with simpler Jira configurations and fewer integrations will migrate faster. Enterprise Jira instances with 50+ custom fields and dozens of marketplace apps will take significantly longer.

The Productivity Math

This is where most comparisons rely on vague claims about "developer experience." I have actual data.

UI Speed: It Compounds

I timed common operations across both tools over a two-week period, averaging across 5 engineers on each platform:

These numbers look dramatic, and they are. Linear is a locally-cached, optimistically-updated client application. Jira Cloud is a server-rendered web application. They're architecturally different products, and the UX gap reflects that.

An engineer performing 50-80 issue management operations per day (creating, updating, searching, triaging) saves roughly 3-5 minutes per day on pure UI wait time. That sounds small until you multiply: 45 engineers × 4 minutes × 220 working days = 660 hours/year. At $85/hour, that's $56,000 in reclaimed engineering time.

But the real gain isn't the clock time — it's the flow state preservation. A 3-second page load is enough to trigger a context switch. A 0.1-second response keeps you in flow. Our Linear squads reported fewer "I forgot what I was doing" moments in daily standups, and our sprint retrospectives consistently flagged tool speed as a factor in focus quality.

Keyboard-First Workflow

Linear's keyboard shortcut system is genuinely excellent. C creates an issue. S sets status. P sets priority. L adds a label. You can triage a full sprint backlog without touching the mouse.

Jira has keyboard shortcuts too, but they're inconsistent across views, don't work in many modal dialogs, and compete with marketplace app shortcuts. Our engineers on Jira squads used the mouse for 80%+ of operations. Our Linear engineers used the keyboard for 60%+ of operations. The difference in throughput during triage sessions was visible in real time — Linear squads finished sprint planning in 25-30 minutes vs 40-50 minutes for Jira squads.

Cycle Time Improvements

Over the 6-month parallel run, we tracked cycle time (time from "In Progress" to "Done") across all squads:

• Jira squads average cycle time: 4.8 days
• Linear squads average cycle time: 3.7 days
• Improvement: 23%

I'd be dishonest if I attributed this entirely to tooling. The Linear squads knew they were in a comparison test, which introduces some Hawthorne effect. And some of the improvement came from the forced workflow simplification during migration — fewer statuses means less time spent in "waiting" states that existed for process reasons, not engineering reasons.

But even discounting for those factors, the tooling contribution is real. Faster UI means faster triage. Keyboard-first means faster status updates. Simpler workflows mean fewer bottlenecks. The compound effect is measurable.

When Jira Still Wins

I'm not writing a Linear sales pitch. Jira is the right tool for specific contexts, and pretending otherwise would undermine the credibility of this analysis.

Regulated Industries

If you're in healthcare, finance, or government contracting, Jira's audit trail capabilities are substantially more mature. Atlassian's compliance certifications list is longer (FedRAMP, HIPAA via BAA, ISO 27001, SOC 2/3). Jira's Advanced Roadmaps can generate the traceability matrices that auditors want to see. Custom field audit logs track every change with timestamps and user attribution.

Linear has SOC 2 Type II and GDPR compliance — sufficient for most SaaS companies. But for industries where "show the auditor a complete change history with approvals" is a quarterly event, Jira's tooling is more mature. This gap is closing, but it's real today.

Very Large Organizations (10,000+ Users)

Jira runs at Atlassian scale — literally tens of thousands of users in a single instance. Jira's permission schemes, project categories, and multi-site federation handle organizational complexity that Linear hasn't been tested against at the same scale.

Linear is proven up to ~500 engineers. Beyond that, I've heard mixed reports. The flat team structure that makes Linear fast for small-to-mid teams can become unwieldy when you have 100+ teams. Jira's hierarchical project/component/board structure, while complex, maps better to large org charts.

Cross-Functional Workflows

This is Jira's genuinely underappreciated strength. In organizations where sales, support, marketing, and engineering all need to track work in one system, Jira's flexibility is hard to beat. Sales teams track deals-to-feature pipelines. Support teams escalate bugs directly into engineering sprints. Marketing tracks campaign launches with dependencies on product releases.

Linear is an engineering tool. It's honest about this — the product is designed for people who write code. If your PM or designer lives in Linear, they'll be fine. If your VP of Sales needs to file feature requests that flow into engineering sprints, Jira's cross-functional workflows handle this natively. In Linear, you'll build a Slack-to-Linear bridge or use a separate intake process.

Ecosystem Depth

3,200+ marketplace apps means that whatever niche workflow your team has invented, someone has probably built a Jira app for it. OKR tracking? Five apps. Time-to-resolution SLA dashboards? A dozen options. Automated compliance reporting for ISO 27001? It exists.

Linear's curated integration list covers the 80% case for engineering teams. The remaining 20% requires API work. If your team's workflow depends on a specific Jira marketplace app that has no Linear equivalent, that's a hard blocker for migration.

Total Cost of Ownership: The Real Numbers

Here's the summary comparison for a 50-person engineering team, including the costs that most comparisons leave out. All figures assume the Business/Premium tier for both tools (the typical mid-market choice).

1-Year TCO Comparison

*Linear teams still need a docs tool — Notion, Slite, etc. Budget ~$8-10/user/mo for that. This adds ~$5,000-6,000/year but replaces Confluence, not adds to it.

3-Year TCO Comparison

The three-year delta is $312,300 — and this doesn't include the productivity gains from faster UI and shorter cycle times. If you factor in the 660 hours/year of reclaimed engineering time at $85/hour, the Linear advantage grows by another $168,300 over three years.

I want to be transparent about the assumptions here. The marketplace app spend is an average — your number could be $0 if you use no add-ons, or $15/user/mo if you're running enterprise-grade portfolio management. The admin overhead assumes a senior engineer at roughly $130K salary spending 30% of their time on Jira administration, which matched our experience and what I've heard from peers. Your mileage will vary. The methodology for how I arrived at these figures is detailed in our SaaS testing framework.

The Verdict

After six months of running both tools with the same team, under the same deadlines, on the same codebase — here's where I land.

Linear wins for engineering-focused teams under 500 people. The speed advantage is real. The TCO advantage is substantial once you account for marketplace apps, admin overhead, and Confluence bundling. The forced simplicity of Linear's workflow model is a feature, not a limitation — it eliminates process theater and keeps engineers focused on shipping.

Jira wins for large enterprises, regulated industries, and cross-functional organizations. If you need 50+ custom fields for compliance traceability, if your sales and support teams live in the same tool as engineering, or if you're running 10,000+ users across multiple business units — Jira's flexibility and ecosystem depth are hard to replace.

The migration decision framework:

• Startup to 50 engineers: Start with Linear. Don't adopt Jira's complexity before you need it.
• 50-200 engineers, engineering-only: Migrate to Linear. The TCO savings pay for migration costs within the first year.
• 50-200 engineers, cross-functional Jira usage: Stay on Jira unless you're willing to run separate tools for non-engineering teams.
• 200+ engineers: Evaluate carefully. Linear works at this scale, but the migration risk and organizational change management costs increase non-linearly. Run a parallel pilot (like I did) before committing.
• Regulated industry (healthcare, finance, gov): Stay on Jira unless Linear's compliance certifications specifically cover your requirements.

We migrated the full team to Linear after the parallel run ended. The $47K annual savings (for our 50-person scale) was compelling, but the decisive factor was simpler: our engineers shipped faster and complained less. In the end, the best project management tool is the one your team actually wants to use.

If you're doing a similar evaluation for AI development tools, the same TCO methodology applies — I wrote a similar breakdown for Claude Code's real-world pricing, which covers the same "sticker price vs actual cost" dynamic in the AI coding assistant space.