Real-time
Two-way sync
Changes in Atlassian or Azure Cosmos DB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Atlassian to Azure Cosmos DB integration — real-time, two-way sync
Keep Atlassian and Azure Cosmos DB 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 Azure Cosmos DB
Mirror Atlassian's data into Azure Cosmos DB 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 Azure Cosmos DB.
Stacksync mirrors Issue Comments, Attachments, Custom Fields, Workflows and Statuses from Atlassian into Partition keys, Change feed entries, Stored procedures and triggers, Databases in Azure Cosmos DB 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
- Keep Jira and a second tracker (for example a customer's Jira instance) aligned during co-delivery projects.
- Sync Confluence page metadata into a knowledge index so other tools can link to current documentation.
- Two-way sync between a Cosmos DB-backed product catalog and a PIM or commerce platform.
- Consolidate documents from multiple containers into a single reporting store.
React to changes as they happen
Updates in Atlassian arrive as row changes in Azure Cosmos DB, so triggers, jobs, and services can respond in near real time.
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 Azure Cosmos DB; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Atlassian and Azure Cosmos DB
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 | Azure Cosmos DB objects | |
|---|---|---|
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Databases Top-level namespaces that scope containers and throughput provisioning. | |
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | Containers The unit of partitioning and throughput; each container maps to a synced collection. |
What ships with Atlassian ⇄ Azure Cosmos DB
Connect Atlassian and Azure Cosmos DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–Azure Cosmos DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or Azure Cosmos DB 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 Azure Cosmos DB record.
Observability
Monitoring
Track your Atlassian ⇄ Azure Cosmos DB 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 Azure Cosmos DB.
How the Atlassian and Azure Cosmos DB 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
Azure Cosmos DB
- Integration surface
- REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces
- Authentication
- Account keys, resource tokens, or Microsoft Entra ID role-based access
- Change detection
- Built-in change feed exposing inserts and updates in order within each partition key range
- Capabilities
- read · write · CDC
How it works
How to connect Atlassian to Azure Cosmos DB — 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 Azure Cosmos DB 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
Azure Cosmos DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and Azure Cosmos DB 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 ⇄ Azure Cosmos DBCustomers 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 Azure Cosmos DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and Azure Cosmos DB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and Azure Cosmos DB: authenticate both systems, choose the objects to sync (such as Atlassian's Custom Fields and Workflows and Statuses), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Atlassian and Azure Cosmos DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–Azure Cosmos DB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Atlassian and Azure Cosmos DB. 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 Atlassian: Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill. On Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Atlassian side: Issue Comments, Attachments, Custom Fields, Workflows and Statuses, plus custom fields where Atlassian exposes them. On the Azure Cosmos DB side: Partition keys, Change feed entries, Stored procedures and triggers, Databases. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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 Azure Cosmos DB.
Popular · 8 of 386
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Atlassian ⇄ Citus -
Atlassian ⇄ Couchbase -
Atlassian ⇄ DuckDB -
Atlassian ⇄ Elasticsearch -
Azure Cosmos DB ⇄ Amazon Seller Central -
Azure Cosmos DB ⇄ SendGrid -
Azure Cosmos DB ⇄ Twilio -
Azure Cosmos DB ⇄ GitHub
No integrations match .
