Two-way sync
Changes in Atlassian or Kommo instantly reflect in both systems. No stale data, no manual imports.
Keep Atlassian and Kommo in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM is supposed to be the record of every customer relationship, but customer-relevant information also accumulates in the other tools a team runs. Whatever Atlassian holds or produces that touches a customer, whether conversations, payments, replies, enriched data, or notes, the CRM only benefits if it arrives without someone copying it over.
Stacksync connects Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages in Atlassian to Notes, Custom Fields, Users, Chats in Kommo with bi-directional, real-time sync. Activity and record changes in Atlassian update the matching contact or account in Kommo, and CRM data flows the other way wherever Atlassian can store and use it.
Enriched fields land directly on records in Kommo, and refreshes keep them from going stale.
Owner, lifecycle stage, or account details from Kommo sync into Atlassian, so people working there have the context without switching tools.
Tickets and conversations attach to the right contact and account in Kommo, so sales sees open issues before the next call.
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 | Kommo objects | How this pairing syncs | |
|---|---|---|---|
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Custom Fields Per-entity custom fields hold data written from external databases and enrichment. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Contacts Person records sync with other CRMs and databases for a shared contact file. | Issue Comments is specific to Atlassian and Contacts to Kommo — each maps to any object or custom field on the other side. | |
| Attachments Files on issues mirrored to paired records where needed. | Companies Organization records map to accounts in ERPs and invoicing tools. | Attachments is specific to Atlassian and Companies to Kommo — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Pipelines & Statuses Stage definitions structure lead progress and drive stage-change syncs to reporting tools. | Workflows and Statuses is specific to Atlassian and Pipelines & Statuses to Kommo — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Tasks Follow-up records keep rep activity consistent across systems. | Users and Groups is specific to Atlassian and Tasks to Kommo — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Notes Free-text and system notes attach context to synced leads and contacts. | Confluence Pages is specific to Atlassian and Notes to Kommo — 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 Kommo through its API, with automatic retries and rate-limit backoff.
DetectionKommo notifies Stacksync of record changes through webhook events. Webhooks on record add and update events, plus polling for backfill.
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–Kommo connection.
Changes in Atlassian or Kommo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Atlassian or Kommo 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 Kommo record.
Track your Atlassian ⇄ Kommo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Atlassian and Kommo.
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 Kommo 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 Kommo 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 Kommo: authenticate both systems, choose the objects to sync (such as Atlassian's Custom Fields and Issue Comments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Kommo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Kommo integration in-house.
Yes — Stacksync ships production-grade connectors for both Atlassian and Kommo. 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 Kommo: Webhooks on record add and update events, plus polling for backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Atlassian side: Custom Fields, Workflows and Statuses, Users and Groups, Confluence Pages, plus custom fields where Atlassian exposes them. On the Kommo side: Notes, Custom Fields, Users, Chats. 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.
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 458 integrations available for Atlassian and Kommo.