Real-time
Two-way sync
Changes in Jira or Slack instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Business productivity
Jira to Slack integration — real-time, two-way sync
Keep Jira 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Jira and Slack
Connect the tickets, records, and events in Slack to the systems engineering runs in Jira, kept current in real time and in both directions.
Slack 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 User groups, Files, Reactions, Channels in Slack 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.
Common use cases
- 01 Create or update records in a database when specific messages or reactions occur in a channel
- 02 Alert an operations channel when a data sync detects conflicts or validation failures
- 03 Load Issues, Worklogs, and status transitions into a warehouse for cycle-time, throughput, and burndown reporting.
- 04 Sync Sprints and Boards with a capacity-planning tool so estimates and iteration scope stay aligned.
Common sync patterns
Where Jira tracks engineering work: requests become issues
A ticket or request raised in Slack opens or updates a matching issue in Jira, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Where Jira moves messages between services: activity lands on the stream
Records created or changed in Slack publish to the queue or topic in Jira as they happen, so downstream services react to real events rather than polling for them.
Where Jira is the directory or identity source: one set of users
People and accounts in Slack stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.
What you can sync between Jira 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.
| Jira objects | Slack 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 Workspace members with profile fields, synced against HR systems and identity providers. | 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. | User groups Handles like @support that map to teams in external systems. | Worklogs is specific to Jira and User groups to Slack — 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. | Files Uploads attached to messages, retrievable for archiving. | Sprints is specific to Jira and Files to Slack — 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. | Reactions Emoji responses that can drive workflows, such as approving a synced record. | Versions is specific to Jira and Reactions to Slack — 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. | Channels Conversations (public, private, DMs) that messages are read from and posted to. | Components is specific to Jira and Channels to Slack — 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. | Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods. | Issues is specific to Jira and Messages to Slack — each maps to any object or custom field on the other side. |
How changes propagate between Jira and Slack
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.
Jira Slack Sub-second propagation
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 Slack through its API, with automatic retries and rate-limit backoff.
Slack Jira Sub-second propagation
DetectionSlack notifies Stacksync of record changes through webhook events. Events API webhooks, delivered over HTTP callbacks or Socket Mode.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
- Slack: Per-method rate limit tiers; message posting is additionally limited per channel.
What ships with Jira ⇄ Slack
Connect Jira and Slack for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jira–Slack connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Jira 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 Jira or Slack record.
Observability
Monitoring
Track your Jira ⇄ Slack sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Jira and Slack.
How the Jira and Slack connectors work
Jira
- Integration surface
- REST API v2 and v3 plus the Jira Software (Agile) REST API
- Authentication
- OAuth 2.0 (3LO) for apps, or Basic auth with an Atlassian account email plus API token
- Change detection
- 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.
- Capabilities
- read · write · webhooks
- Rate limits
- Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
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 Jira 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 Jira 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.
Jira
connected
Slack
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Jira 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 · Jira ⇄ 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.
Jira SlackCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Jira and Slack integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Jira and Slack: 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.
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Slack: The Web API uses RPC-style method names such as chat.postMessage and conversations.history rather than resource URLs. Jira: Custom fields are keyed by internal IDs like customfield_10011, discoverable through the Get fields endpoint. Stacksync's field mapping accounts for these differences between Jira 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 Jira 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 Jira and Slack connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jira–Slack integration in-house.
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Yes — Stacksync ships production-grade connectors for both Jira and Slack. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 Slack: Events API webhooks, delivered over HTTP callbacks or Socket Mode. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
SECURITY
Security teams trust 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
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 332 integrations available for Jira and Slack.
Popular · 8 of 332
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Jira ⇄ GitHub -
Jira ⇄ Atlassian -
Jira ⇄ Braze -
Jira ⇄ ConnectWise -
Slack ⇄ Azure Service Bus -
Slack ⇄ Datadog -
Slack ⇄ Google Pubsub -
Slack ⇄ Ldap
No integrations match .
