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.
- 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
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Migrated from Fivetran
Case study
Migrated from Celigo
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.
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 MongoDB.
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
- Mirror Jira projects into a SQL database for engineering throughput and SLA reporting.
- Create Jira issues from records in other systems, such as onboarding tasks generated from a closed-won CRM deal.
- Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
- Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
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 MongoDB; 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 MongoDB and Stacksync propagates the change into Atlassian, replacing custom integration code.
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 | |
|---|---|---|
| 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. | |
| 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. | |
| Users and Groups Assignees and reporters matched to identities in other tools. | Indexes Keep lookups by sync key fast on large collections. | |
| Confluence Pages Documentation content readable and writable through the Confluence REST API. | Views Read-only aggregation-defined sources for filtered sync datasets. | |
| Confluence Spaces Namespaces that scope page syncs and permissions. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| 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. |
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
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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 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 MongoDB.
Popular · 8 of 386
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Atlassian ⇄ Neo4j -
Atlassian ⇄ OCI Database (Oracle Cloud) -
Atlassian ⇄ OpenSearch -
Atlassian ⇄ Oracle DB -
MongoDB ⇄ GitHub -
MongoDB ⇄ Braze -
MongoDB ⇄ ConnectWise -
MongoDB ⇄ Aviato
No integrations match .
