Real-time
Two-way sync
Changes in Couchbase or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Database
Couchbase to MongoDB integration — real-time, two-way sync
Keep Couchbase 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Couchbase and MongoDB
Keep Couchbase and MongoDB synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Couchbase and MongoDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- Sync Couchbase JSON documents into Postgres or a warehouse where analysts work with flattened relational tables.
- Stream document mutations via DCP into downstream systems so caches, search indexes, or warehouses stay current.
- Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
- Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Couchbase and MongoDB, so each workload runs on the engine that suits it.
What you can sync between Couchbase 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.
| Couchbase objects | MongoDB objects | |
|---|---|---|
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Databases Logical groupings of collections that scope a sync connection. | |
| Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | |
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | |
| JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | |
| Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Indexes Keep lookups by sync key fast on large collections. | |
| XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Views Read-only aggregation-defined sources for filtered sync datasets. |
What ships with Couchbase ⇄ MongoDB
Connect Couchbase and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Couchbase 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 Couchbase or MongoDB record.
Observability
Monitoring
Track your Couchbase ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Couchbase and MongoDB.
How the Couchbase and MongoDB connectors work
Couchbase
- Integration surface
- SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs
- Authentication
- Database credentials with role-based access control, typically over TLS
- Change detection
- Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by cluster sizing rather than API rate limits
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 Couchbase 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 Couchbase 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.
Couchbase
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Couchbase 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 · Couchbase ⇄ 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.
Couchbase MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Couchbase and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Couchbase and MongoDB: authenticate both systems, choose the objects to sync (such as Couchbase's Buckets and Scopes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Couchbase 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 Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. 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.
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On the Couchbase side: XDCR replications, Full-text search indexes, Buckets, Scopes, plus custom fields where Couchbase exposes them. On the MongoDB side: Indexes, Views, Change streams, GridFS files. 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.
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Common patterns for Couchbase and MongoDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 Couchbase and MongoDB.
Popular · 8 of 386
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Couchbase ⇄ Firebase -
Couchbase ⇄ SingleStore -
Couchbase ⇄ Amazon Aurora -
Couchbase ⇄ Amazon Lightsail - MongoDB ⇄ Firebase
- MongoDB ⇄ SingleStore
- MongoDB ⇄ Amazon Aurora
- MongoDB ⇄ Amazon Lightsail
No integrations match .
