Real-time
Two-way sync
Changes in Braze or Jira instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Developer tools
Braze to Jira integration — real-time, two-way sync
Keep Braze and Jira 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 Braze and Jira
Connect the tickets, records, and events in Braze to the systems engineering runs in Jira, kept current in real time and in both directions.
Braze 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 Subscription Groups, Content Blocks, Users, Custom Attributes in Braze with Versions, Components, Users, Issues 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 Sync audience membership computed in the warehouse into Braze segments for targeting.
- 02 Sync CRM and billing attributes onto Braze user profiles so lifecycle campaigns target accurate plan and status data.
- 03 Consolidate multiple Jira Projects or sites into one database, mapping Projects, Components, and Versions for cross-team reporting.
- 04 Two-way sync Issues and their status, assignee, and story points with a Postgres database so teams query and update sprint data in SQL.
Common sync patterns
Where Jira moves messages between services: activity lands on the stream
Records created or changed in Braze 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 Braze stay matched to the users in Jira, so access, provisioning, and org changes propagate instead of being keyed in twice.
Where Jira watches operations: live volumes for visibility
Open items, throughput, and error counts from Braze replicate into Jira, so the operational view reflects what is actually happening in the business.
What you can sync between Braze and Jira
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.
| Braze objects | Jira objects | How this pairing syncs | |
|---|---|---|---|
| Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. | Users Account records referenced as reporters, assignees, and watchers; read to resolve accountId to a person when mapping Issue ownership. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Segments Audience definitions read for membership export and campaign targeting. | Versions Release / fix-version records per Project; synced to align roadmap and release tools on what ships in each version. | Segments is specific to Braze and Versions to Jira — each maps to any object or custom field on the other side. | |
| Campaigns Message sends whose metadata and analytics are read for reporting. | Components Sub-project categories used to route and group Issues; synced so ownership and triage stay consistent across tools. | Campaigns is specific to Braze and Components to Jira — each maps to any object or custom field on the other side. | |
| Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. | 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. | Canvases is specific to Braze and Issues to Jira — each maps to any object or custom field on the other side. | |
| Subscription Groups Channel-level opt-in states synced with consent records in other systems. | Projects Containers that group Issues, workflows, and permissions; usually read to segment syncs by team, or written when standing up a new project. | Subscription Groups is specific to Braze and Projects to Jira — each maps to any object or custom field on the other side. | |
| Content Blocks Reusable message content referenced across campaigns. | 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. | Content Blocks is specific to Braze and Comments to Jira — each maps to any object or custom field on the other side. |
How changes propagate between Braze and Jira
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.
Braze Jira Interval-based propagation
DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.
DeliveryEach detected change is written to Jira through its API, with automatic retries and rate-limit backoff.
Jira Braze 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 Braze through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
- Jira: Cost-based (points) model; 429 responses return Retry-After and X-RateLimit-* headers. JQL search costs far more than single-issue reads.
What ships with Braze ⇄ Jira
Connect Braze and Jira for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Jira connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Braze or Jira 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 Braze or Jira record.
Observability
Monitoring
Track your Braze ⇄ Jira sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Braze and Jira.
How the Braze and Jira connectors work
Braze
- Integration surface
- REST API
- Authentication
- REST API keys scoped to specific endpoints, issued per workspace
- Change detection
- Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
- Capabilities
- read · write
- Rate limits
- Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
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.
How it works
How to connect Braze to Jira — 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 Braze and Jira with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Braze
connected
Jira
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Braze and Jira 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 · Braze ⇄ JiraCustomers 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.
Braze JiraCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Braze and Jira integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Braze and Jira: authenticate both systems, choose the objects to sync (such as Braze's Users and Segments), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Braze: Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Braze side: Subscription Groups, Content Blocks, Users, Custom Attributes, plus custom fields where Braze exposes them. On the Jira side: Versions, Components, Users, Issues. 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.
-
Common patterns for Braze and Jira: Where Jira moves messages between services: activity lands on the stream; Where Jira is the directory or identity source: one set of users; Where Jira watches operations: live volumes for visibility. Records created or changed in Braze publish to the queue or topic in Jira as they happen, so downstream services react to real events rather than polling for them.
-
Braze: REST API. Authentication: REST API keys scoped to specific endpoints, issued per workspace. Jira: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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 378 integrations available for Braze and Jira.
Popular · 8 of 378
-
Braze ⇄ Opsgenie -
Braze ⇄ PagerDuty -
Braze ⇄ Rabbitmq -
Braze ⇄ Azure Service Bus -
Jira ⇄ Gainsight -
Jira ⇄ Ironclad -
Jira ⇄ Servicemax -
Jira ⇄ Adobe Sign
No integrations match .
