Real-time
Two-way sync
Changes in Atlassian or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Atlassian to MongoDB integration — real-time, two-way sync
Keep Atlassian and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Atlassian and MongoDB
Mirror Atlassian's data into MongoDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Teams sync Atlassian with MongoDB to keep an operational document mirror of Jira inside the database their applications already use. Jira Issues map naturally to MongoDB Documents, with Issue Comments and Attachments metadata stored as embedded documents and arrays, ready for internal tools and services to query.
Stacksync mirrors Attachments, Custom Fields, Workflows and Statuses, Users and Groups from Atlassian into GridFS files, Databases, Collections, Documents in MongoDB 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
- 01 Internal apps read Jira state from MongoDB with indexed queries instead of rate-limited API calls.
- 02 Product teams join issue Documents with application data living in the same Databases.
- 03 Indexes on synced Custom Fields make cross-project issue search fast inside existing services.
- 04 Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
Common sync patterns
Issue document mirror
Jira Issues replicate into a MongoDB Collection as Documents, with Custom Fields preserved as native fields.
Nested comment sync
Issue Comments store as embedded documents and arrays under each issue Document for single-read access.
Portal views
MongoDB Views over synced Jira Projects power customer-facing status pages served by product applications.
What you can sync between Atlassian and MongoDB
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 | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Custom Fields Instance-specific fields (customfield IDs) that carry most business-specific data in syncs. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Custom Fields is specific to Atlassian and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Workflows and Statuses Status transitions mapped to stages in the paired system. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Workflows and Statuses is specific to Atlassian and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Indexes Keep lookups by sync key fast on large collections. | Users and Groups is specific to Atlassian and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Views Read-only aggregation-defined sources for filtered sync datasets. | Confluence Pages is specific to Atlassian and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Change streams The oplog-backed event feed that powers real-time change capture. | Confluence Spaces is specific to Atlassian and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Jira Issues The central work item, synced two-way with CRMs, support desks, and other trackers. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Jira Issues is specific to Atlassian and GridFS files to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Atlassian and MongoDB
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.
Atlassian MongoDB Sub-second propagation
DetectionAtlassian notifies Stacksync of record changes through webhook events. Webhooks on issue and page events, plus JQL polling on the updated timestamp for backfill.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Atlassian Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Atlassian through its API, with automatic retries and rate-limit backoff.
What ships with Atlassian ⇄ MongoDB
Connect Atlassian and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Atlassian–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Atlassian or MongoDB 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 MongoDB record.
Observability
Monitoring
Track your Atlassian ⇄ MongoDB 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 MongoDB.
How the Atlassian and MongoDB 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
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Atlassian to MongoDB — 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 MongoDB 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
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Atlassian and MongoDB 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 ⇄ MongoDBCustomers 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 MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Atlassian and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Atlassian and MongoDB: 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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Atlassian: JQL supports querying issues by updated time, which gives polling syncs a reliable incremental cursor. MongoDB: Only ObjectId primary keys are supported for collections. Stacksync's field mapping accounts for these differences between Atlassian and MongoDB 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 MongoDB 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 MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Atlassian–MongoDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Atlassian and MongoDB. 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 MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. 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 478 integrations available for Atlassian and MongoDB.
Popular · 8 of 478
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Atlassian ⇄ Azure Cosmos DB -
Atlassian ⇄ Azure SQL Database -
Atlassian ⇄ Citus -
Atlassian ⇄ Couchbase -
MongoDB ⇄ GitHub -
MongoDB ⇄ Braze -
MongoDB ⇄ ConnectWise -
MongoDB ⇄ Aviato
No integrations match .
