Two-way sync
Changes in Atlassian or Zendesk instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and Zendesk in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Support runs in Zendesk and engineering runs in Jira, and connecting them closes the loop between customer-reported problems and the fixes that resolve them. Syncing Zendesk Tickets and Ticket Comments with Jira Issues keeps both teams working from the same state without manual copy-paste.
Stacksync syncs Workflows and Statuses, Users and Groups, Confluence Pages, Confluence Spaces in Atlassian with Tickets, Tickets Comments, Users, Organizations in Zendesk in real time. You choose which records overlap, map the fields that should match, and pick a direction or let changes flow both ways. From then on, an update made in either tool is reflected in the other within seconds, without exports or copy-paste.
Because the sync is field-level, each tool keeps its own extras; only the shared data is held in agreement.
Zendesk Tickets escalate into Jira Issues, with Ticket Comments and Attachments mirrored both ways.
when a Jira Issue closes, linked Zendesk Tickets update so agents can notify the requester.
Zendesk Ticket Forms map into Jira Custom Fields so triage data arrives structured.
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 | Zendesk objects | How this pairing syncs | |
|---|---|---|---|
| Attachments Files on issues mirrored to paired records where needed. | Attachments Synced with incremental and full sync per the Stacksync docs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Tickets The central work object; synced to databases for SLA and volume reporting or mirrored into engineering tools. | Issue Comments is specific to Atlassian and Tickets to Zendesk — each maps to any object or custom field on the other side. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Tickets Comments Synced with incremental and full sync per the Stacksync docs. | Custom Fields is specific to Atlassian and Tickets Comments to Zendesk — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Users End users and agents; matched to CRM contacts to keep requester data consistent. | Workflows and Statuses is specific to Atlassian and Users to Zendesk — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Organizations Company groupings for users; typically kept aligned with CRM accounts. | Users and Groups is specific to Atlassian and Organizations to Zendesk — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Ticket Forms Synced with incremental and full sync per the Stacksync docs. | Confluence Pages is specific to Atlassian and Ticket Forms to Zendesk — each maps to any object or custom field on the other side. |
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.
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 Zendesk through its API, with automatic retries and rate-limit backoff.
DetectionZendesk notifies Stacksync of record changes through webhook events. Incremental export endpoints with cursor-based pagination, plus webhooks fired by triggers.
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Zendesk connection.
Changes in Atlassian or Zendesk instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Zendesk data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Atlassian or Zendesk record.
Track your Atlassian ⇄ Zendesk sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Zendesk.
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.
Authenticate Atlassian and Zendesk with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Atlassian and Zendesk 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Zendesk: authenticate both systems, choose the objects to sync (such as Atlassian's Attachments and Issue Comments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Atlassian and Zendesk: Escalation sync; Fix-notification loop; Form-to-field mapping. Zendesk Tickets escalate into Jira Issues, with Ticket Comments and Attachments mirrored both ways.
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. Zendesk: REST API. Authentication: OAuth app authorization: enter your Zendesk subdomain (from {sub_domain_name}.zendesk.com) in Stacksync Connections and click "Authorize App". Stacksync manages authentication, retries, and rate limits on both sides.
Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. Zendesk: The incremental export APIs are designed for replication, returning time-ordered changes with cursor pagination rather than requiring full-table scans. Stacksync's field mapping accounts for these differences between Atlassian and Zendesk without custom code.
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 Zendesk records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Zendesk connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Zendesk integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 445 integrations available for Atlassian and Zendesk.