Two-way sync
Changes in Jira or Orderful instantly reflect in both systems. No stale data, no manual imports.
Keep Jira and Orderful in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Orderful 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 Validation guidelines, Acknowledgments, Webhook events, Transactions in Orderful with Worklogs, Sprints, Versions, Components 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.
A ticket or request raised in Orderful 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.
Records created or changed in Orderful publish to the queue or topic in Jira as they happen, so downstream services react to real events rather than polling for them.
People and accounts in Orderful stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.
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.
| Jira objects | Orderful objects | How this pairing syncs | |
|---|---|---|---|
| Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON | Sprints is specific to Jira and Transactions to Orderful — each maps to any object or custom field on the other side. | |
| Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Trading partners The retailers, carriers, and suppliers a company exchanges documents with | Versions is specific to Jira and Trading partners to Orderful — each maps to any object or custom field on the other side. | |
| Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Relationships Active partner connections per transaction type that govern what can be sent and received | Components is specific to Jira and Relationships to Orderful — each maps to any object or custom field on the other side. | |
| Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Validation guidelines Partner-specific rules transactions are checked against before delivery | Users is specific to Jira and Validation guidelines to Orderful — each maps to any object or custom field on the other side. | |
| 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. | Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents | Issues is specific to Jira and Acknowledgments to Orderful — each maps to any object or custom field on the other side. | |
| Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Webhook events Push notifications for inbound documents and transaction status changes | Projects is specific to Jira and Webhook events to Orderful — 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.
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 Orderful through its API, with automatic retries and rate-limit backoff.
DetectionOrderful notifies Stacksync of record changes through webhook events. Webhooks push inbound transactions and status events.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–Orderful connection.
Changes in Jira or Orderful instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or Orderful data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jira or Orderful record.
Track your Jira ⇄ Orderful sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and Orderful.
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 Jira and Orderful 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 Jira and Orderful 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 Jira and Orderful: authenticate both systems, choose the objects to sync (such as Jira's Sprints and Versions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Jira: 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. On Orderful: Webhooks push inbound transactions and status events; polling available as fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Orderful side: Validation guidelines, Acknowledgments, Webhook events, Transactions, plus custom fields where Orderful exposes them. On the Jira side: Worklogs, Sprints, Versions, Components. 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.
Common patterns for Jira and Orderful: 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 Orderful 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.
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. Orderful: REST API (JSON). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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 275 integrations available for Jira and Orderful.