Real-time
Two-way sync
Changes in Atlassian or Slack instantly reflect in both systems. No stale data, no manual imports.
Business productivity
Atlassian to Slack integration — real-time, two-way sync
Keep Atlassian and Slack in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Atlassian and Slack
Stop re-entering the same information in Atlassian and Slack: Stacksync keeps the records they share consistent in real time, in both directions.
Two tools in the daily stack often hold overlapping information: the same people, the same companies, or the same pieces of work, described twice. The tools do different jobs, so consolidating is not the answer; the overlap just needs to stop drifting.
Stacksync syncs Jira Issues, Jira Projects, Boards and Sprints, Issue Comments in Atlassian with Reactions, Channels, Messages, Threads in Slack in real time. You choose which records overlap, map the fields that should match, and pick a direction or let changes flow both ways. From then on, an update made in either tool is reflected in the other within seconds, without exports or copy-paste.
Because the sync is field-level, each tool keeps its own extras; only the shared data is held in agreement.
Common use cases
- Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- Post CRM record changes into deal or account channels so the team sees updates without opening the CRM
- Sync the Slack user directory with the HRIS or identity provider to keep memberships and profiles current
Where both tools track people or companies: one consistent record
Contact and company details corrected in either tool update the other, so nobody works from the old version.
Where one tool produces events: mirror them in the other
Payments, replies, messages, or tickets created in one tool can create or update matching records in the other, keeping context in one place.
Where Slack is where the team documents or plans: keep its data fed
Information that originates in Atlassian stays current in Slack instead of going stale after a one-time paste.
What you can sync between Atlassian and Slack
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 | Slack objects | |
|---|---|---|
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Reactions Emoji responses that can drive workflows, such as approving a synced record. | |
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Channels Conversations (public, private, DMs) that messages are read from and posted to. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. | |
| Attachments Files on issues mirrored to paired records where needed. | Users Workspace members with profile fields, synced against HR systems and identity providers. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | User groups Handles like @support that map to teams in external systems. |
What ships with Atlassian ⇄ Slack
Connect Atlassian and Slack for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Slack connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Slack data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Atlassian or Slack record.
Observability
Monitoring
Track your Atlassian ⇄ Slack sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Atlassian and Slack.
How the Atlassian and Slack connectors work
Atlassian
- Integration surface
- REST APIs per product (Jira Cloud and Confluence Cloud)
- Authentication
- OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts
- Change detection
- Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill
- Capabilities
- read · write · webhooks
Slack
- Integration surface
- Web API (HTTP RPC-style methods) plus the Events API
- Authentication
- OAuth 2.0 with bot or user tokens and granular scopes
- Change detection
- Events API webhooks, delivered over HTTP callbacks or Socket Mode
- Capabilities
- read · write · webhooks
- Rate limits
- Per-method rate limit tiers; message posting is additionally limited per channel
How it works
How to connect Atlassian to Slack — three steps, no code
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.
- 01
Connect your apps
Authenticate Atlassian and Slack with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Atlassian
connected
Slack
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Slack 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.
objects · Atlassian ⇄ SlackCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Atlassian SlackCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Slack integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Slack: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Issues and Jira Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Atlassian and Slack: Where both tools track people or companies: one consistent record; Where one tool produces events: mirror them in the other; Where Slack is where the team documents or plans: keep its data fed. Contact and company details corrected in either tool update the other, so nobody works from the old version.
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Atlassian: REST APIs per product (Jira Cloud and Confluence Cloud). Authentication: OAuth 2.0 (3LO) for apps or API tokens with basic auth for scripts. Slack: Web API (HTTP RPC-style methods) plus the Events API. Authentication: OAuth 2.0 with bot or user tokens and granular scopes. Stacksync manages authentication, retries, and rate limits on both sides.
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Atlassian: Each Atlassian product has its own REST API and resource model; a sync spanning Jira and Confluence talks to separate endpoints under one Atlassian identity. Slack: The Events API pushes changes to a subscribed endpoint, so most integrations never need to poll. Stacksync's field mapping accounts for these differences between Atlassian and Slack without custom code.
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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 Slack records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Slack connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Slack integration in-house.
SECURITY
Security teams love Stacksync
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.
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Atlassian and Slack.
Popular · 8 of 386
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Atlassian ⇄ ConnectWise -
Atlassian ⇄ Aviato -
Atlassian ⇄ Customer.io -
Atlassian ⇄ eClinicalWorks - Slack ⇄ ConnectWise
- Slack ⇄ Aviato
- Slack ⇄ Customer.io
- Slack ⇄ eClinicalWorks
No integrations match .
