Two-way sync
Changes in Atlassian or Namely instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and Namely in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Each tool in Atlassian keeps its own list of who can use it: users, members, or agents, along with the team they sit on and whether they are still active. Namely is the authoritative record of the same people as employees, with their department, manager, and employment status. When those two are connected only by manual account admin or a periodic export, the work tools drift: new hires wait days for access, team and manager changes never catch up, and people who have left keep standing accounts.
Stacksync syncs Jira Issues, Jira Projects, Boards and Sprints, Issue Comments in Atlassian with Events, Profiles, Job Titles, Job Tiers in Namely bi-directionally and in real time. A person added, moved, or offboarded in Namely creates or updates the matching user in Atlassian within seconds, with field-level mapping and conflict resolution in place of spreadsheets and one-off account changes. Where Atlassian captures details of its own, such as a corrected contact or a login identity, those can flow back to Namely in whichever direction you configure.
Because the sync is field-level, each system keeps its own extras; only the shared facts, who a person is, which team they belong to, and whether their access should be on, are held in agreement.
A person's name, title, contact details, or status corrected in either system updates the other, so both sides stop maintaining separate copies of the same person.
Department, team, and reporting-line changes from Namely keep the groups, queues, or projects in Atlassian assigned to the right people.
When someone changes teams or managers in Namely, the queues, ownership, or approvals in Atlassian update to match, so work reaches whoever holds the role now.
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 | Namely objects | How this pairing syncs | |
|---|---|---|---|
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Events Home-feed items such as announcements, birthdays, anniversaries, and new arrivals; typically read-only into comms tools. | Issue Comments is specific to Atlassian and Events to Namely — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. | Attachments is specific to Atlassian and Profiles to Namely — 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. | Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. | Custom Fields is specific to Atlassian and Job Titles to Namely — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Workflows and Statuses is specific to Atlassian and Job Tiers to Namely — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. | Users and Groups is specific to Atlassian and Groups to Namely — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. | Confluence Pages is specific to Atlassian and Teams to Namely — 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 Namely through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.
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–Namely connection.
Changes in Atlassian or Namely instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Namely 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 Namely record.
Track your Atlassian ⇄ Namely sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Namely.
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 Namely 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 Namely 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 Namely: authenticate both systems, choose the objects to sync (such as Atlassian's Issue Comments and Attachments), 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 Atlassian and Namely records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Namely connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Namely integration in-house.
Yes — Stacksync ships production-grade connectors for both Atlassian and Namely. 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 Namely: No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Atlassian side: Jira Issues, Jira Projects, Boards and Sprints, Issue Comments, plus custom fields where Atlassian exposes them. On the Namely side: Events, Profiles, Job Titles, Job Tiers. 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 341 integrations available for Atlassian and Namely.