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Atoll vs Jira
An honest, side-by-side comparison for teams choosing between Atoll and Jira.
TL;DR
Jira runs scrum and SAFe for tens of thousands of engineering orgs and does it well. Atoll is built for a team where Claude Code and Codex are committing code alongside humans on Tuesday afternoon. If your headcount is 50+ engineers running classic agile under a workflow scheme your release management team owns, stay on Jira. If you spend half your week prompting agents and need them inside the issue graph instead of beside it, Atoll fits the work.
Feature comparison
Atoll vs Jira, feature by feature
We try to keep this comparison fair and current. If you spot something inaccurate about Jira, tell us — we will fix it.
| Capability | Atoll | Jira |
|---|---|---|
| Issue tracker | ||
| Projects | ||
| Sprints / boardsJira ships full scrum and kanban boards with backlog grooming, sprint burndown, and velocity charts. Atoll models cadence inside initiatives. | Not opinionated | |
| Roadmap | Initiatives + milestones | Advanced Roadmaps |
| Agents as first-class members | ||
| API key per agentJira authenticates agents via scoped API tokens or service accounts. Both share a human identity in the activity log. | ||
| Heartbeat orientation for agentsOne call returns the agent's assigned issues, the KPI each one moves, and recent activity, so a fresh session opens already oriented. | ||
| Goals + KPIs as primitives | Via Atlassian Goals or third-party tools | |
| KPI snapshots and pace tracking | Through dashboards and add-ons | |
| CLI | npx atoll | Atlassian CLI (acli) and community tools |
| Workflow customization | Statuses + labels | Full workflow engine with schemes and transitions |
| Confluence / wiki integration | ||
| Marketplace apps | Thousands of Atlassian Marketplace apps | |
| Public API + webhooks | ||
| SOC 2 Type II | In progress (Q1 2027) | |
| SSO / SAML | Enterprise plan | Standard plan and above |
| Pricing (per user / month, annual) | $12 | $8.15 Standard, $16 Premium |
| Pricing for AI agentsAtoll bills agent members at half the human rate. Jira's seat model assumes a person logs in. | $6 per agent / month | Not modeled. Use service accounts or third-party tools |
| Free tier | 1 user, 1 agent, 1 project | Up to 10 users |
| Onboarding complexity | Minimal | Significant (workflow design, schemes, permissions) |
Fit
Who tends to choose which
Both tools are well-built. The question is which one fits the shape of your team.
Choose Atoll if
You ship with agents
- You run multiple coding agents (Claude Code, Codex, Cursor, Gemini) on shipping work each week
- Onboarding a new project should take an afternoon, not a workflow design workshop with three stakeholders
- You plan from KPIs down: revenue, activation, latency. Issues exist to move a number
- Jira's workflow schemes, permissions, and screen configurations slow you more than they protect you
- You want one chain across the org: goals to KPIs to initiatives to issues, no add-ons
Choose Jira if
You ship with humans
- You run scrum, SAFe, or LeSS across 50+ engineers and the ceremony is load-bearing
- Confluence is where your specs live, Bitbucket holds your code, and Jira Service Management runs your support queue
- Compliance audits already reference Jira's SOC 2 report and your control framework points at Jira projects
- Portfolio reporting across 10+ products via Advanced Roadmaps is a daily artifact for your PMO
- A Marketplace app (Tempo, Structure, ScriptRunner, Xray) is doing real work your team would have to rebuild
Honest trade-offs
Pros and cons of each
No tool is strictly better than another. These are the real trade-offs as of early 2026.
Atoll
Trade-offs
Pros
- Every agent gets a member row, an API key, and an activity feed from day one
- Goals, KPIs, initiatives, and issues sit in the same database, queryable in one API call
- A new project takes an afternoon to stand up, with no workflow schemes to design
- `npx atoll heartbeat` returns assigned work, KPI context, and recent activity for the agent calling it
- The CLI and REST API drive the same surface, built for agents to operate headless
Cons
- No Confluence, Bitbucket, or Jira Service Management integration today, and none in the next two quarters
- No Marketplace. If you depend on Tempo, Structure, ScriptRunner, or Xray, that work moves out of the PM tool
- Workflow customization stops at statuses and labels. There is no transition screen, no validator, no post-function
- Smaller integration footprint, especially around enterprise SSO catalogs and audit log forwarders
- SOC 2 Type II is in progress, not yet certified
Jira
Trade-offs
Pros
- Battle-tested at 10,000+ user scale, running every flavor of agile from scrum to SAFe to LeSS
- Atlassian Marketplace ships thousands of apps, including Tempo for time, Structure for hierarchy, ScriptRunner for automation, and Xray for QA
- Permissions, audit logging, and data residency controls satisfy regulated industries and large compliance teams
- Advanced Roadmaps does cross-project portfolio planning that no other tool in the category matches
- Tight ties to Confluence for docs, Bitbucket for code, and Jira Service Management for support keep work in one suite
Cons
- Agents authenticate as a service account or a human's API token. The activity feed cannot tell three Codex workers apart
- Workflow design, screen schemes, and permission schemes are work in their own right. A misconfigured scheme is hard to unwind
- No structured way for an agent to orient at the start of a session. Each one rolls its own JQL
- Per-seat pricing was priced for headcount, not for a team spinning up five agents on a Friday
- Setup time on a new project is days of decisions, not minutes
Migration
Migrating from Jira to Atoll
Five concrete steps to move a team from Jira onto Atoll without losing context.
- 01
Pull a clean Jira export
Run a Jira CSV export per project or query the REST API at `/rest/api/3/search` with the fields you care about (summary, description, status, labels, assignee, comments, epic link, fix version). Keep the epic link and fix version columns. Step three needs them to rebuild initiatives and milestones.
- 02
Decide your status and label model first
Atoll has statuses and labels. Jira has workflows with transitions, screens, and validators. Most teams collapse a 12-status workflow into four Atoll statuses (`open`, `in_progress`, `review`, `done`) and move the rest into labels. Write the mapping in a spreadsheet before the import. Going back and re-tagging 5,000 issues after the fact is the painful version of this step.
- 03
Run the import
`npx atoll import jira --file jira-export.json --status-map status-map.json`. Projects become Atoll projects. Epics become initiatives. Fix versions become milestones. Labels and assignees carry over by name. The CLI prints a diff before it writes, so you can review the first 50 issues and abort if the status map looks wrong.
- 04
Create a member row for each agent
Open Settings > Members > Add Agent. Create a row for Claude Code, Codex, Cursor, Gemini, and any other agent you run. Each one gets its own `sk_atoll_...` key. The shared `jira-bot@company.com` service account retires here. Every change an agent makes is now attributable to that agent in the activity feed.
- 05
Re-link issues to KPIs
Open each migrated initiative and connect it to the KPI it should move. Issues inherit the KPI from the initiative. This is the step where a flat backlog becomes the goals > KPIs > initiatives > issues chain, and where the heartbeat API gets the context it returns to agents.
- 06
Run the first heartbeat
From the agent's shell, run `npx atoll heartbeat`. The agent gets its identity, its assigned issues, the KPI each issue moves, and the last 24 hours of activity from its teammates. That payload is the orientation a new human teammate would get in their first standup, delivered in one HTTP call.
FAQ
Frequently asked questions
Can I import my data from Jira?
Yes. Jira exports issues, comments, and history to CSV, and the REST API exposes the same fields with more control. `npx atoll import jira` reads both. Epics map to initiatives, fix versions map to milestones, labels and assignees carry over by name. Status mapping is the one step that needs human judgment: most teams collapse a long workflow into four or five Atoll statuses plus labels. Migrating one project per week beats a big-bang cutover.
Does Atoll integrate with Confluence or Bitbucket?
No, and not in 2026. Confluence for docs, Bitbucket for code, Jira Service Management for support: the Atlassian suite is a real moat and Atoll does not ship native integrations for any of it. If your specs, code, and support tickets all live in Atlassian, the migration cost is high. Teams already on Notion or GitHub generally find the gap less material.
When would I NOT switch from Jira to Atoll?
Stay on Jira if you run scrum or SAFe across 50+ engineers and the workflow customization is load-bearing. Stay on Jira if your compliance posture depends on the SOC 2 report or your control framework points at specific Jira projects. Stay on Jira if Confluence and Bitbucket are core to how the team works. Atoll is built for human plus agent teams. If that is not your team yet, the migration is not worth it.
Can a team run Jira and Atoll in parallel during migration?
Yes, and most do for a few weeks. The usual pattern is to migrate one project or one team first while the rest of the org stays on Jira, then expand once the new workflow proves out. There is no turnkey two-way sync. Both REST APIs are good enough to mirror status changes during the transition if you need it, but you write the script.
How does pricing compare for a 20-person team?
Jira Standard at $8.15/user/month is about $1,960/year for 20 humans. Jira Premium at $16/user/month is about $3,840. Atoll at $12/user/month is $2,880/year for the same 20 humans, plus $360/year for five agent members at $6 each, totalling $3,240. Atoll is more expensive than Jira Standard on the human seat and cheaper than Premium once you count agents. Jira does not bill agent seats at all, which keeps its sticker price down and pushes that cost into the human seat. Always check the live pricing pages before you commit.
What about Advanced Roadmaps and portfolio reporting?
Jira Premium's Advanced Roadmaps is strong for cross-project portfolio planning, and Atoll does not match it for that workload yet. Atoll uses initiatives and milestones under goals and KPIs, which works well for a single product line or one focused team. For a PMO running 10+ products across many teams with dependency rollups, Jira keeps a clear edge.
Will Atoll add Marketplace apps?
No. Atoll's bet is that a smaller opinionated core plus a strong API serves agent-driven teams better than a Marketplace where 3,000 apps each implement the missing 5% of the product. If your team depends on Tempo for time tracking, ScriptRunner for automation, or Xray for QA, the work those apps do has to move somewhere else, and that gap is unlikely to close from inside Atoll.
How does data migration handle URLs and history?
Issue IDs change. Atoll uses its own ID scheme (`ATL-123` style per project) and old Jira URLs do not redirect. The CLI import preserves titles, descriptions, comment threads, status, labels, and assignees from Jira. Plan a window where both systems stay readable: migrate the active backlog first, leave Jira read-only for historical reference, and let URLs in old Slack messages and runbooks resolve until the team has stopped citing them.