Real-time
Two-way sync
Changes in Atlassian or Jira instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Developer tools
Atlassian to Jira integration — real-time, two-way sync
Keep Atlassian and Jira in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Atlassian and Jira
Connect the tickets, records, and events in Atlassian to the systems engineering runs in Jira, kept current in real time and in both directions.
Atlassian is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jira is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Confluence Pages, Confluence Spaces, Jira Issues, Jira Projects in Atlassian with Users, Issues, Projects, Comments in Jira field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
Common use cases
- 01 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- 02 Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- 03 Sync Sprints and Boards with a capacity-planning tool so estimates and iteration scope stay aligned.
- 04 Consolidate multiple Jira Projects or sites into one database, mapping Projects, Components, and Versions for cross-team reporting.
Common sync patterns
Where Jira tracks engineering work: requests become issues
A ticket or request raised in Atlassian opens or updates a matching issue in Jira, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Where Jira moves messages between services: activity lands on the stream
Records created or changed in Atlassian publish to the queue or topic in Jira as they happen, so downstream services react to real events rather than polling for them.
Where Jira is the directory or identity source: one set of users
People and accounts in Atlassian stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.
What you can sync between Atlassian and Jira
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Atlassian objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Users and Groups Assignees and reporters matched to identities in other tools. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Users and Groups is specific to Atlassian and Users to Jira — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Issues Core work items (stories, bugs, tasks, epics, sub-tasks); synced two-way with databases and other trackers, keyed by issue key with an updated field for incrementals. | Confluence Pages is specific to Atlassian and Issues to Jira — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Confluence Spaces is specific to Atlassian and Projects to Jira — each maps to any object or custom field on the other side. | |
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Jira Issues is specific to Atlassian and Comments to Jira — each maps to any object or custom field on the other side. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Jira Projects is specific to Atlassian and Worklogs to Jira — each maps to any object or custom field on the other side. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Boards and Sprints is specific to Atlassian and Sprints to Jira — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and Jira
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Atlassian Jira Sub-second propagation
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Jira Atlassian Sub-second propagation
DetectionJira notifies Stacksync of record changes through webhook events. Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
What ships with Atlassian ⇄ Jira
Connect Atlassian and Jira for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Jira connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Jira data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Atlassian or Jira record.
Observability
Monitoring
Track your Atlassian ⇄ Jira sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Atlassian and Jira.
How the Atlassian and Jira connectors work
Atlassian
- Integration surface
- REST APIs per product (Jira Cloud and Confluence Cloud)
- Authentication
- OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
- Change detection
- Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
- Capabilities
- read · write · webhooks
Jira
- Integration surface
- REST API v2 and v3 plus the Jira Software (Agile) REST API
- Authentication
- OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token
- Change detection
- Jira webhooks (jira:issue_created / _updated / _deleted plus comment and worklog events) for near-real-time; incremental JQL polling on the issue updated timestamp as a best-effort reconciliation fallback.
- Capabilities
- read · write · webhooks
- Rate limits
- Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
How it works
How to connect Atlassian to Jira — three steps, no code
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
- 01
Connect your apps
Authenticate Atlassian and Jira with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Jira
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Jira objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
objects · Atlassian ⇄ JiraCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian JiraCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Jira integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Jira: authenticate both systems, choose the objects to sync (such as Atlassian's Users and Groups and Confluence Pages), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Atlassian and Jira: Where Jira tracks engineering work: requests become issues; Where Jira moves messages between services: activity lands on the stream; Where Jira is the directory or identity source: one set of users. A ticket or request raised in Atlassian opens or updates a matching issue in Jira, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
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Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. Jira: REST API v2 and v3 plus the Jira Software (Agile) REST API. Authentication: OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: Issue transitions are workflow-controlled, so writes that change status must call the transitions endpoint with a valid target state rather than setting the field directly. Jira: The v3 REST API represents description and comment bodies as Atlassian Document Format (ADF) JSON; v2 uses plain-text / wiki-markup strings. Stacksync's field mapping accounts for these differences between Atlassian and Jira without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Atlassian and Jira records are not retained after a sync operation.
SECURITY
Security teams trust Stacksync
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 323 integrations available for Atlassian and Jira.
Popular · 7 of 323
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Atlassian ⇄ Opsgenie -
Atlassian ⇄ PagerDuty -
Atlassian ⇄ Rabbitmq -
Atlassian ⇄ Azure Service Bus -
Jira ⇄ Resend -
Jira ⇄ ServiceNow -
Jira ⇄ Slack
No integrations match .
