Jira alternative

A Jira alternative that does some of the work, not just the tracking

Jira is the most configurable tracker ever built. Configuration is also the reason people go looking.

The short answer

Polaris is a free alternative to Jira for teams that want issue tracking, docs and team chat in one product and want AI workers to take some of the tickets. Jira lists Free for up to ten users, Standard near seven dollars ninety-one and Premium near fourteen dollars fifty-four per user per month, checked 21 August 2026. Polaris software costs nothing.

Jira Free
up to 10 users
Jira Standard
~$7.91 / user / month
Jira Premium
~$14.54 / user / month
Checked
21 Aug 2026

Nobody leaves Jira because it lacks features

They leave because of the admin tax. Someone owns the workflow schemes. Someone owns the custom fields nobody fills in. Someone owns the board configuration that broke when a new project reused the wrong scheme. That person did not apply for the job, and their real job is not getting done.

Then there is the price shape. Checked on 21 August 2026, Jira is free for up to ten users, with Standard at roughly seven dollars ninety-one and Premium at roughly fourteen dollars fifty-four per user per month at small team sizes, and Enterprise quoted on request. Atlassian's per-user rate slides down as the user count rises, which is worth modelling before comparing against anything.

The eleventh person is where most teams first feel it, because that is the moment the free plan ends and a per-user line item begins.

Head to head

Jira prices are cloud list prices at small team sizes, checked 21 August 2026. Atlassian's own page was partially unreadable, so figures were cross-checked against multiple published 2026 pricing summaries.

Jira

Polaris

Software cost

Free to 10 users, then per user per month

$0 at any team size, no seat count

Workflow model

Custom workflow schemes, statuses, transitions, conditions, validators, post-functions

Lanes shared between list and board view, plus a pinned Focus lane across three time horizons

Query language

JQL, saved filters, dashboards built on them

No query language. Filtering and lanes only

Docs

Sold separately as Confluence

Included: nested tree, block editor, versioning, review and comments

Team chat

Not included

Included, plus an Inbox that turns Slack signals into prefilled task suggestions

Assignees

Humans

Humans and AI workers in one members table, assigned the same way

AI work

Assistive features priced into higher tiers

A cloud machine wakes per task, runs a tool loop with live web search, and returns files

Who closes a ticket

A human

A human. The machine ticks acceptance criteria and delivers, it never marks work done

Comparison of Jira and Polaris by .

When you should stay on Jira

These are not consolation prizes. If any of them describes you, do not move.

  • Your workflow engine is load-bearing

    Conditions, validators, post-functions and multi-project schemes encode real process, often process an auditor has seen. Polaris has lanes and a Focus horizon. It does not have a workflow engine and will not pretend to.

  • You need permission schemes and audit depth

    Issue-level security, project roles, permission schemes and Atlassian's admin and audit surface exist because large organisations require them. That requirement does not go away because a cheaper product appeared.

  • You run Jira Service Management or a marketplace app you depend on

    The Atlassian app marketplace is deep, and a team whose intake, SLAs or compliance reporting runs on a marketplace app is buying that app as much as the tracker.

  • Reporting is measured against Jira's own reports

    Sprint burndown, velocity, control charts and cumulative flow are the shared vocabulary of a lot of engineering organisations. Losing them mid-quarter is a real cost, not a rounding error.

What changes on a Monday morning

Same sprint, two products.

On Jira

  • Twelve tickets in the backlog, all waiting for a person
  • Three of them are research, writing or chasing, not engineering
  • Standup spends four minutes on tickets nobody has started
  • Every new hire adds a per-user line to the invoice

On Polaris

  • The same twelve tasks, with three assigned to AI workers
  • A cloud machine wakes for each one and posts progress as it goes
  • Deliverables arrive as comments with files attached, ready for review
  • The invoice moves only when something was actually delivered

Migration, honestly

There is no Jira importer in Polaris. Jira exports issues to CSV and has a well-documented REST API, so a bulk move of summary, description, status, assignee and labels is achievable with a script. Workflow schemes, permission schemes, custom field configurations, sprint history and marketplace app data are not portable to any product, Polaris included.

The realistic pattern is narrower. Leave Jira running for the engineering work that depends on its schemes. Start one Polaris workstream for the work that keeps falling outside the tracker: research, writing, competitor checks, documentation upkeep, the recurring chase. Connect GitHub so an AI worker can see the code context. Judge it on whether that lane empties.

Go deeper

Questions people ask

+Can Polaris import Jira issues?

Not with a one-click importer. Jira exports issues to CSV and exposes a REST API, which covers summary, description, status, assignee and labels well enough for a scripted move. Workflow schemes, permission schemes, custom field configuration and sprint history do not transfer to any tool, so treat them as rebuilt or retired rather than migrated.

+Is Polaris a like-for-like Jira replacement for a 60-engineer org?

For most organisations that size, no. Jira's workflow engine, permission schemes and reporting vocabulary are usually embedded in how the org runs, and replacing them is a project rather than a switch. Polaris fits better as the place the non-ticket work lives, running alongside Jira, until the case for a wider move is obvious.

+How much does Jira actually cost per year?

Checked on 21 August 2026, Jira Cloud is free to ten users, with Standard near seven dollars ninety-one and Premium near fourteen dollars fifty-four per user per month at small team sizes, and the per-user rate falling as the user count grows. A twenty-person team on Standard is therefore in the region of nineteen hundred dollars a year before Confluence or any marketplace app.

+What does two dollars per hour buy on an engineering task?

It buys a session on a cloud machine that compiles the worker's instructions and skill files, runs a live tool loop with web search, ticks the acceptance criteria you wrote, and posts a comment with any files produced. Hours are human-equivalent and estimated by an open formula from observable effort, then logged so you can challenge any line.

+Does Polaris connect to GitHub the way Jira does?

GitHub is in the Polaris connection catalog, authorised once and stored server-side, so an AI worker can be given repository access as part of its brief. It is not the same as Jira's smart-commit and branch-linking integration, and if that specific link is central to your workflow, that is a reason to keep Jira.

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