Two-way sync
Changes in Atlassian or Shopify instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and Shopify in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Ecommerce teams connect Atlassian to Shopify to run store operations as tracked work. Order problems, product content tasks, and customer escalations from Shopify Orders and Customers become Jira Issues with owners and due dates, so store fixes stop living in chat threads.
Stacksync connects Jira Issues, Jira Projects, Boards and Sprints, Issue Comments in Atlassian to Products, ProductMedias, ProductVariants, Orders in Shopify with bi-directional, real-time sync. Activity and record changes in Atlassian update the matching contact or account in Shopify, and CRM data flows the other way wherever Atlassian can store and use it.
a problematic Shopify Order creates a Jira Issue with the Customer reference stored in Custom Fields.
new Products, ProductVariants, and ProductMedias tasks run through Jira Boards and Sprints before publish.
patterns in Abandoned Checkouts open Jira Issues for the growth team to investigate.
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 | Shopify objects | How this pairing syncs | |
|---|---|---|---|
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | ProductVariants Synced with incremental and full sync per the Stacksync docs. | Jira Issues is specific to Atlassian and ProductVariants to Shopify — each maps to any object or custom field on the other side. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Orders Purchase transactions; pushed to ERPs for fulfillment and billing, and read into databases for reporting. | Jira Projects is specific to Atlassian and Orders to Shopify — 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. | Customers Buyer records; matched to CRM contacts for marketing and lifetime-value analysis. | Boards and Sprints is specific to Atlassian and Customers to Shopify — each maps to any object or custom field on the other side. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Abandoned Checkouts Synced with incremental and full sync per the Stacksync docs. | Issue Comments is specific to Atlassian and Abandoned Checkouts to Shopify — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | Products Catalog entries; often mastered in a PIM or ERP and written into Shopify. | Attachments is specific to Atlassian and Products to Shopify — 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. | ProductMedias Synced with incremental and full sync per the Stacksync docs. | Custom Fields is specific to Atlassian and ProductMedias to Shopify — 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 Shopify through its API, with automatic retries and rate-limit backoff.
DetectionShopify notifies Stacksync of record changes through webhook events. Webhook topics per resource, with polling on updated_at as a fallback.
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–Shopify connection.
Changes in Atlassian or Shopify instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Shopify 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 Shopify record.
Track your Atlassian ⇄ Shopify sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Shopify.
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 Shopify 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 Shopify 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 Shopify: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Issues and Jira Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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. Shopify: Webhook topics cover most resources, such as order creation and product updates, delivering event-driven change notifications over HTTPS. Stacksync's field mapping accounts for these differences between Atlassian and Shopify 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 Shopify records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Shopify connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Shopify integration in-house.
Yes — Stacksync ships production-grade connectors for both Atlassian and Shopify. 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 Shopify: Webhook topics per resource, with polling on updated_at as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 470 integrations available for Atlassian and Shopify.