Linear vs Jira, and the third option neither names

If you are comparing Linear and Jira, you have probably already read the verdict ten times: Linear is fast and developer-first, Jira is powerful and enterprise-grade. That is true, and we will say it plainly below before we say anything else.

But the comparison everyone runs has a blind spot. Both tools answer "how should we track work." Neither answers "why does the bill keep climbing, and what happens when the AI meter turns on." That second question is the reason Radial exists, and it is the part this post is really about. First, the honest head-to-head.

#Linear vs Jira, the fair version

These two tools start from opposite philosophies, and most teams already feel the difference within a day.

Linear is opinionated and fast. Fixed, sensible workflows instead of infinite configuration. A keyboard-first interface with a command menu that eliminates the mouse. It is built for engineering teams and product teams that want to move without administrative setup. The trade is flexibility: you do it Linear's way, and Linear's way is good.

Jira is the opposite bet: near-infinite customization. Any workflow you can imagine, deep analytics, capacity planning, Gantt-style roadmaps, and thousands of apps in the Atlassian Marketplace. It scales to large organizations tracking work across many teams and non-engineering departments. The trade is weight: most teams configure a fraction of it and absorb the slowness as the cost of breadth.

The honest summary the comparison sites converge on:

• Choose Linear if you are an engineering-led startup or product team that values speed, a clean interface, and developer experience, and you do not need cross-department workflows.
• Choose Jira if you are a large enterprise, work in a regulated environment, or need to connect product development to marketing, sales, and support in one system.

If your only axis is speed versus breadth, that decision tree is correct, and you can stop reading. The rest of this post is for the people who picked one, lived with it, and then watched the invoice.

#The question both comparisons skip: the meter

Here is what the Linear-vs-Jira posts rarely put side by side, because it cuts against both:

• Linear is per-seat per month, and its newer AI work (Coding Sessions) bills from a prepaid, USD-denominated AI credits balance. The base is a subscription; the AI is a meter.
• Jira is per-seat per month ($0 Free up to 10 users, Standard $9.70 and Premium $19.60 per user per month on monthly billing for 1 to 100 users, annual plans priced by user band, plus Enterprise by quote; prices as of Nov 2, 2026), and its AI layer, Rovo, ships a monthly credit allowance per seat (25 / 70 / 150 by plan) with overage at $0.01 per credit from December 3, 2026. Rovo Dev is a further $20 per developer per month. The base is a subscription; the AI is a meter.

Same shape, two vendors. A per-seat line that grows with headcount, and a usage line that grows with how much AI work you run. Neither is wrong as a business model. But it means the number you sign up for is not the number you end up paying, and the gap widens exactly as your team leans into agents.

That is the option neither comparison names, because it is not one of them.

#The third option: one flat number, and no meter at all

Radial is the fast, keyboard-first issue tracker engineering teams actually want, and it took the speed-and-developer-experience side of the Linear argument seriously: instant search, a command palette, list and board layouts, Cycles (time-boxed sprints), triage, projects. The job Linear does well, Radial does.

The difference is the part above. Radial's price is $50 per user, per year, flat, billed annually. There is no AI credit balance, no usage meter, no overage line, because there is no AI in the product to meter. Agents are not billed as seats.

And the part that makes it a commitment rather than a slogan is the Plain Software Pledge, written down: the day Radial ships a copilot, meters your usage, or charges you for AI you didn't ask for, we refund your subscription in full.

This is not anti-AI. AI is redefining plenty of products, and your agent doing real work is great. Your issue tracker is just not the place that intelligence should live or get billed. The agent is yours, the model is yours, the keys are yours. Radial's job is to be the fast system of record your agent writes to, over a real CLI, REST API, and MCP server, without a bill for the privilege.

Moving over is an export and an import, not a migration project. Radial imports from both tools, so the comparison does not strand you on whichever one you are leaving. Export your issues to JSON, then run the import dry first to see what comes across:

npm i -g radial.build
radial import --from jira export.json --dry-run

Swap jira for linear if you are coming the other way. Issues, statuses, priorities, assignees, labels, parents, relations, comments and timestamps come across from both; projects and estimates from Linear only. Attachments, sprints, custom fields and history do not. Every command that returns data takes --json, so the same move scripts from CI, and your agent can run it over the REST API (POST /v1/import).

#Where Radial is honestly behind

A fair three-way comparison names the gaps. Against Jira, Radial does not have its breadth: no portfolio or initiative layer, no burndown or velocity dashboards, no Gantt roadmap, no thousand-app marketplace. If you genuinely run fifty teams with fifty different workflows, Jira is built for that and Radial is not. Against Linear, Radial does not yet ship presence indicators, multiplayer editing of descriptions, or notification email beyond invites.

If those are load-bearing for your team, that is a real reason to wait, and we would rather tell you now than lose your trust in a bake-off. What Radial will not be behind on is the price and the pledge.

#FAQ

#Is Jira better than Linear?

For large enterprises with complex, cross-department workflows and a need for deep customization and analytics, Jira's breadth wins. For engineering-led teams that value speed and developer experience, most comparisons land on Linear. "Better" depends entirely on whether you need Jira's configurability or you are paying for breadth you never use. If it is the latter, a fast, focused tracker like Radial or Linear will feel like a different category.

#What is the difference between Jira and Linear?

Philosophy. Linear is opinionated and fast, with fixed workflows and a keyboard-first interface built for developers. Jira is endlessly customizable, with deep analytics and enterprise tooling built to scale across many teams and departments. Linear optimizes for speed and simplicity; Jira optimizes for flexibility and breadth.

#Is Jira becoming obsolete?

No. Jira remains dominant in enterprise, and Atlassian is moving Data Center customers to cloud rather than retiring the product. The shift is narrower: teams that adopted Jira for engineering work, but never needed its enterprise breadth, are increasingly moving to faster, focused trackers. That is a fit problem, not an obsolescence one.

#Who is Jira's biggest competitor?

For engineering teams, Linear is the comparison most guides run, which is why this post exists. Another competitor is any tool that removes Jira's weight without adding a new tax, which is the lane Radial sits in: a keyboard-first tracker, a flat price and a written pledge against a usage meter.

#How is Radial's pricing different from both?

Linear and Jira are per-seat per month plus a metered AI layer (Linear's Coding Sessions credits; Jira's Rovo credits with announced overage). Radial is a single flat $50 per user, per year, with no usage meter of any kind, agents not billed as seats, and a written guarantee that we refund your subscription in full the day Radial ever adds a meter.

#The short version

Linear wins on speed and developer experience. Jira wins on enterprise breadth and customization. Both bill per seat and meter the AI on top. Radial takes the speed side of that argument, then removes the meter entirely: one flat $50 per user per year, agents not billed as seats, and a pledge that pays you if we ever break it.

See the one number on pricing, or read why is Jira so slow for the engineering reason the weight is not free. If you are coming from Linear specifically, here is the Radial vs Linear comparison. If your question is which of the two works better with coding agents, read Jira vs Linear for AI coding agents, with MCP coverage, CLIs, credits and a live claim race.