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Database · Two-way sync platform

MongoDB connector for two-way sync.

Keep MongoDB and your business systems aligned with Stacksync. Sync Collections within the connector’s object and field requirements, with two-way sync for eligible records.

  • Configure field mappings and sync direction
  • Inspect and resolve record errors in one dashboard
Setup guide: how Stacksync connects to MongoDB

Adopted by fast-scaling companies moving mission-critical data in real time

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Record types

MongoDB objects and coverage.

Start with the records your workflow needs. Object-specific permissions and operation limits are shown alongside the available coverage.

Collections
Check object and field eligibility in the setup guide.

Read the MongoDB object and setup guide

Connection setup

MongoDB connection requirements.

Check the account access and change-detection requirements for your environment. Your system administrator can help confirm permissions before the first sync.

Connection method
MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
Account access
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
How changes are detected
Stacksync uses MongoDB oplog and change streams. A replica set is required, including for a single-node deployment.

Sync directions

  • Read data Documented
  • Write data Documented
MongoDBStacksync setup guide
Setup prerequisites for your administrator
  • Use auto-generated ObjectId values for collection id keys and run the database as a replica set.
  • Allow Stacksync network access and grant database-level permissions to read/write collections and access the oplog.

Documentation checked September 15, 2026.

Setup guides and technical references

Integration design

Match records and fields for your MongoDB integration.

Define the row/document key, external application identity, required types, and relationship model. Decide how nested values, nulls, schema changes, and deleted parents appear in the other system.

Use your account’s actual field names when applying these matching and dependency checks.

Explore record matching and field-mapping checks
MongoDBSource record IDKeep the account and record type
Record matchingSource ID ↔ destination IDLink the same record across systems
Selected destinationDestination record IDPreserve its local key and rules
Conceptual identity model. Keep source and destination IDs linked so an update reaches the right record. Confirm the supported sync direction separately.
Match the same record in both systems
Use the documented auto-generated ObjectId for _id and retain any external application key as a separate field. Do not silently convert an external text ID into the collection primary key.
Load related records in the right order
Decide whether nested documents and arrays remain nested or become related destination records. Test the identity of an array member when its position changes.

Mapping checks by record type

Documents

Confirm object support with Stacksync

Identity
Keep file/object ID, container, and version. A path can change and a filename can repeat.
Fields to consider
Source file ID · Container reference · Version · Metadata · Access classification
Related records to resolve first
Resolve folder/container and parent-record references before attaching metadata.
Test before going live
Test a renamed file, a new version, a moved folder, and an access-restricted document.

Download the field-mapping workbook (CSV) to capture the actual API fields, matching keys, owners, and test results. Use it as you build with your team or a Stacksync engineer.

Setup and validation

Validate the MongoDB integration in four steps.

Repeated delivery reaches one intended record; related data remains addressable and incompatible values produce an observable failure.

View the four setup tests and expected results

  1. Verify MongoDB connectivity and database privileges

    Use the documented setup from the integration network to the intended host, database, and schema. Have the administrator demonstrate the permissions required for both the first read and later change capture.

    Expected result: The approved role can access the selected data and capture later changes without depending on an administrator’s personal session.

  2. Observe a nested update after the initial copy

    Confirm replica-set operation and database-level permissions, then update a nested field or array in a test collection.

    Expected result: The intended destination representation changes without duplicating the parent or losing the identity of related data.

  3. Test writes in the directions you need

    Select one eligible MongoDB object and writable field. Test the required create/update direction, an invalid value, and a repeated delivery. Check object-specific restrictions before enabling the return path.

    Expected result: The selected operation is confirmed, addresses the intended record, and exposes rejected values for repair.

  4. Test recovery and name the support owner

    Interrupt a non-production transfer, restore the connection, and reconcile the selected MongoDB records. When using Stacksync’s Retry to sync action, check the latest source value: the retry re-reads current source state rather than replaying an immutable historical event.

    Expected result: The records have the expected current values, repeated delivery creates no duplicate business record, and your team knows who handles unresolved errors.

Use the production-readiness checklist to record test results, assign support owners, and agree on when to go live.

Troubleshooting

Troubleshoot your MongoDB integration.

Diagnose record matching, delayed changes, and rejected operations
The collection is readable but incremental replication fails
Verify replica-set configuration and database-level access to collections and the oplog. Collection-only grants are insufficient in the documented setup.
The first load looks correct but later results differ
Stacksync uses MongoDB oplog and change streams. A replica set is required, including for a single-node deployment. Measure the original source change, its capture, and the destination observation separately. Confirm whether the affected object is incremental, historical-only, or subject to a special refresh cycle.
One operation succeeds while another is rejected
Check the specific MongoDB object, field permissions, required references, and allowed operation. A successful read does not establish that a create, update, deletion, or business action is available.

Review retry, replay, and recovery behavior before repeating an operation that may already have succeeded.

Review your MongoDB workflow with an engineer

MongoDB integration guides

FAQ

MongoDB connector FAQ

How should I plan an integration with MongoDB?

Replica-set access, ObjectId keys, and the document model are separate prerequisites. Stacksync supports two-way sync for eligible objects. Start with one workflow, agree on which fields each system owns, then test initial data, later changes, and recovery before expanding.

Can the MongoDB connector write changes back?

Stacksync supports reads and writes for eligible MongoDB objects. Check the selected fields, account permissions, and the other system’s connector. Confirm replica-set operation and database-level permissions, then update a nested field or array in a test collection.

Which identifiers should I preserve for MongoDB data?

Use the documented auto-generated ObjectId for id and retain any external application key as a separate field. Do not silently convert an external text ID into the collection primary key.

Which related records should I load first for MongoDB?

Decide whether nested documents and arrays remain nested or become related destination records. Test the identity of an array member when its position changes.

What should I check if MongoDB data is missing or delayed?

Verify replica-set configuration and database-level access to collections and the oplog. Collection-only grants are insufficient in the documented setup.

What will we cover in a MongoDB integration demo?

Start with one workflow and a sample record from Documents. We can review how to identify the record, connect related data, set the update direction, and test recovery. Include the person who owns the source system and anyone who will maintain the integration; you do not need a finished requirements document.

Explore MongoDB connections

Choose the other system in your workflow. Each guide explains the connection options, available operations, field mapping, and setup checks for that pair.

288 integration guides

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SECURITY

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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.

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SSO & SCIM

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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:

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