Real-time
Two-way sync
Changes in Atlassian or Firebase instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Atlassian to Firebase integration — real-time, two-way sync
Keep Atlassian and Firebase 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
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Why teams connect Atlassian and Firebase
Mirror Atlassian's data into Firebase so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Atlassian through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Firebase.
Stacksync mirrors Jira Projects, Boards and Sprints, Issue Comments, Attachments from Atlassian into Firestore Collections, Firestore Documents, Subcollections, Realtime Database Nodes in Firebase and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Atlassian, so the tool and the database never disagree.
Common use cases
- Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
- Write CRM-side changes (plan, status, owner) back into Firestore documents the app reads.
- Combine Firebase Authentication users with billing and CRM records into one customer table.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Atlassian with a query
Records from Atlassian are ordinary rows in Firebase; join them, index them, and use them in application logic without touching the vendor API.
Automate Atlassian from your codebase
Write to the synced tables in Firebase and Stacksync propagates the change into Atlassian, replacing custom integration code.
What you can sync between Atlassian and Firebase
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 | Firebase objects | |
|---|---|---|
| Jira Projects Containers that scope issues, workflows, and permissions for a sync. | Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | |
| Boards and Sprints Agile structures read to report on sprint contents and status. | Subcollections Nested collections under documents, typically flattened into related tables during sync. | |
| Issue Comments Threaded discussion synced into linked tickets in external systems. | Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | |
| Attachments Files on issues mirrored to paired records where needed. | Authentication Users User accounts read into CRMs and warehouses for customer records. | |
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. |
What ships with Atlassian ⇄ Firebase
Connect Atlassian and Firebase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Firebase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Firebase 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 Firebase record.
Observability
Monitoring
Track your Atlassian ⇄ Firebase 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 Firebase.
How the Atlassian and Firebase 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
Firebase
- Integration surface
- REST and gRPC APIs, typically accessed through the Firebase Admin SDK
- Authentication
- Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts
- Change detection
- Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes
- Capabilities
- read · write
- Rate limits
- Subject to Firestore's documented operation quotas and per-document write throughput limits
How it works
How to connect Atlassian to Firebase — 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 Firebase 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
Firebase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Firebase 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 ⇄ FirebaseCustomers 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 FirebaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Firebase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Firebase: authenticate both systems, choose the objects to sync (such as Atlassian's Jira Projects and Boards and Sprints), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Atlassian and Firebase: One integration pattern for the whole stack; Read Atlassian with a query; Automate Atlassian from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
-
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. Firebase: REST and gRPC APIs, typically accessed through the Firebase Admin SDK. Authentication: Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts. 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. Firebase: Firestore documents are schemaless and support nested maps and arrays, so syncs define field mappings per document path rather than from a fixed schema. Stacksync's field mapping accounts for these differences between Atlassian and Firebase 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 Firebase records are not retained after a sync operation.
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 Firebase.
Popular · 8 of 386
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Atlassian ⇄ YugabyteDB -
Atlassian ⇄ PostgreSQL -
Atlassian ⇄ Amazon RDS -
Atlassian ⇄ Supabase -
Firebase ⇄ Front -
Firebase ⇄ Amazon Seller Central -
Firebase ⇄ SendGrid -
Firebase ⇄ Twilio
No integrations match .
