Two-way sync
Changes in Atlassian or Front instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and Front 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 and engineering teams connect Atlassian and Front so customer conversations and the work they generate stay linked. Front Conversations that surface bugs or requests become Jira Issues, and Jira status flows back so agents can update Contacts without pinging engineering. Comments stay threaded on both sides.
Stacksync syncs Users and Groups, Confluence Pages, Confluence Spaces, Jira Issues in Atlassian with Messages, Comments, Contacts, Accounts in Front 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.
a Front Conversation escalates into a Jira Issue with Messages and Attachments carried over.
Jira Issue status and Issue Comments sync to Front Comments so agents see progress inside the Conversation.
Jira Issues roll up to Front Accounts so teams see all open engineering work per customer.
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 | Front objects | How this pairing syncs | |
|---|---|---|---|
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Tags Labels applied to conversations; drive routing and category-level analytics. | Custom Fields is specific to Atlassian and Tags to Front — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Teammates Agents; used for ownership mapping and workload reporting. | Workflows and Statuses is specific to Atlassian and Teammates to Front — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Channels Connected addresses (email, SMS, chat); define where messages originate and send from. | Users and Groups is specific to Atlassian and Channels to Front — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Conversations The central threaded unit that messages, comments, and tags attach to; synced for support analytics. | Confluence Pages is specific to Atlassian and Conversations to Front — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Messages Inbound and outbound emails, chats, and SMS within a conversation; read out for response-time reporting. | Confluence Spaces is specific to Atlassian and Messages to Front — 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 Internal team notes on conversations; usually read-only in syncs. | Jira Issues is specific to Atlassian and Comments to Front — 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 Front through its API, with automatic retries and rate-limit backoff.
DetectionFront notifies Stacksync of record changes through webhook events. Application webhooks and rule-triggered webhooks, with the events endpoint available for polling.
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–Front connection.
Changes in Atlassian or Front instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Front 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 Front record.
Track your Atlassian ⇄ Front sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Front.
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 Front 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 Front 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 Front: authenticate both systems, choose the objects to sync (such as Atlassian's Custom Fields and Workflows and Statuses), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Front connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Front integration in-house.
Yes — Stacksync ships production-grade connectors for both Atlassian and Front. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Front: Application webhooks and rule-triggered webhooks, with the events endpoint available for polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Atlassian side: Users and Groups, Confluence Pages, Confluence Spaces, Jira Issues, plus custom fields where Atlassian exposes them. On the Front side: Messages, Comments, Contacts, Accounts. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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 427 integrations available for Atlassian and Front.