Two-way sync
Changes in Jira or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Keep Jira and Sysaid in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Sysaid 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 Problems, Changes, Users, Assets in Sysaid with Sprints, Versions, Components, Users 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.
People and accounts in Sysaid stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.
Open items, throughput, and error counts from Sysaid replicate into Jira, so the operational view reflects what is actually happening in the business.
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
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 | Sysaid objects | How this pairing syncs | |
|---|---|---|---|
| Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Users End users and admins on the /users endpoint; synced with an HRIS or identity source to keep requester and agent records current. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Incidents Break/fix tickets under /api/v1/sr with type=incident; created and updated two-way with status, priority, assignee, category, and SLA fields. | Worklogs is specific to Jira and Incidents to Sysaid — each maps to any object or custom field on the other side. | |
| Sprints Agile iterations from the Jira Software API; synced to report scope, velocity, and burndown, and to move Issues between sprints. | Service Requests Catalog and help-desk requests on the same /sr endpoint (type=request); written or read so fulfillment can be driven from another system. | Sprints is specific to Jira and Service Requests to Sysaid — 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. | Problems Root-cause records that group related incidents; read and written to keep problem management aligned with an external ITSM or reporting store. | Versions is specific to Jira and Problems to Sysaid — 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. | Changes Change records (type=change) with approval and scheduling fields; synced two-way to drive CAB review and deployment workflows. | Components is specific to Jira and Changes to Sysaid — 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. | Assets Hardware and software inventory; read out to a warehouse or written from a discovery or CMDB source of truth. | Issues is specific to Jira and Assets to Sysaid — 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 Sysaid through its API, with automatic retries and rate-limit backoff.
DetectionSysaid notifies Stacksync of record changes through webhook events. Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature.
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–Sysaid connection.
Changes in Jira or Sysaid instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or Sysaid 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 Sysaid record.
Track your Jira ⇄ Sysaid sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and Sysaid.
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 Sysaid 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 Sysaid 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 Sysaid: authenticate both systems, choose the objects to sync (such as Jira's Users and Worklogs), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Jira and Sysaid records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jira and Sysaid connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jira–Sysaid integration in-house.
Yes — Stacksync ships production-grade connectors for both Jira and Sysaid. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Sysaid: Webhooks (beta) push sr.created and sr.updated events with changed-field diffs and an X-Sysaid-Signature; otherwise poll the /sr endpoint filtering on update_time.gte. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Sysaid side: Problems, Changes, Users, Assets, plus custom fields where Sysaid exposes them. On the Jira side: Sprints, Versions, Components, Users. Stacksync auto-detects both schemas and converts types between the two systems.
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 390 integrations available for Jira and Sysaid.