Two-way sync
Changes in Jira or Wrike instantly reflect in both systems. No stale data, no manual imports.
Keep Jira and Wrike in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Wrike 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 Custom Fields, Comments, Timelogs, Contacts in Wrike with Users, Issues, Projects, Comments 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 Wrike 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 Wrike 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 | Wrike objects | How this pairing syncs | |
|---|---|---|---|
| Comments Discussion threads on Issues; in v3 the body is Atlassian Document Format JSON, so rich text is preserved when syncing to and from other systems. | Comments Discussion and activity entries attached to Tasks and Folders; read out for history and reporting or written back as comments. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Tasks The primary unit of work and main record; created, updated, completed, and deleted via the REST v4 API and synced two-way. Subtasks are Tasks linked by superTask/subTask references. | Projects is specific to Jira and Tasks to Wrike — each maps to any object or custom field on the other side. | |
| Worklogs Time-tracking entries against Issues; read into warehouses for effort and capacity reporting, or written back from timesheet tools. | Folders & Projects The container hierarchy: Folders group Tasks, and Projects add dates, an owner, and a status. Each maps to a synced table scope, and its structure defines what a sync covers. | Worklogs is specific to Jira and Folders & Projects to Wrike — 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. | Custom Fields Typed fields (Text, Numeric, Date, DropDown, Contacts, Checkbox) defined at account or space level; mapped to database columns, with values written by field ID. | Sprints is specific to Jira and Custom Fields to Wrike — 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. | Timelogs Time-tracking entries logged against Tasks; read for billing and utilization reporting or written back when hours are recorded elsewhere. | Versions is specific to Jira and Timelogs to Wrike — 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. | Contacts Account members and user groups referenced by task responsibles and authors; read to resolve IDs to names and email addresses. | Components is specific to Jira and Contacts to Wrike — 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 Wrike through its API, with automatic retries and rate-limit backoff.
DetectionWrike notifies Stacksync of record changes through webhook events. Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event.
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–Wrike connection.
Changes in Jira or Wrike instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jira or Wrike 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 Wrike record.
Track your Jira ⇄ Wrike sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jira and Wrike.
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 Wrike 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 Wrike 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 Wrike: authenticate both systems, choose the objects to sync (such as Jira's Comments and Projects), 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 Wrike records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jira and Wrike connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jira–Wrike integration in-house.
Yes — Stacksync ships production-grade connectors for both Jira and Wrike. 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 Wrike: Webhooks scoped to a folder, a space, or the whole account fire on events like TaskCreated, TaskStatusChanged, and FolderCreated, with event filtering and custom payload fields; polling the task updatedDate is the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Wrike side: Custom Fields, Comments, Timelogs, Contacts, plus custom fields where Wrike exposes them. On the Jira side: Users, Issues, Projects, Comments. 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 Wrike.