Real-time
Two-way sync
Changes in Materialize or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Materialize to MongoDB integration — real-time, two-way sync
Keep Materialize 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
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Why teams connect Materialize and MongoDB
Connect MongoDB and Materialize with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want MongoDB's rows in Materialize, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in MongoDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in MongoDB sync into Materialize in real time, and result tables in Materialize sync back into MongoDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
- Read computed view results back into a CRM or application database as derived fields.
- Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
- Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
Operational data in the warehouse, minus the pipeline
Rows from MongoDB land in Materialize as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Materialize sync into MongoDB, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Materialize 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.
| Materialize objects | MongoDB objects | |
|---|---|---|
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Databases Logical groupings of collections that scope a sync connection. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | |
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. |
What ships with Materialize ⇄ MongoDB
Connect Materialize and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Materialize 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 Materialize or MongoDB record.
Observability
Monitoring
Track your Materialize ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Materialize and MongoDB.
How the Materialize and MongoDB connectors work
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
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 Materialize 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 Materialize 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.
Materialize
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Materialize 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 · Materialize ⇄ 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.
Materialize MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Materialize and MongoDB: authenticate both systems, choose the objects to sync (such as Materialize's Indexes and Clusters), 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 Materialize 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 Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. 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 Materialize side: Schemas & Databases, Tables, Sources, Materialized Views, plus custom fields where Materialize exposes them. On the MongoDB side: Collections, Documents, Embedded documents and arrays, Indexes. 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 Materialize and MongoDB: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from MongoDB land in Materialize as they change, replacing hand-built CDC and batch extract jobs.
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 Materialize and MongoDB.
Popular · 8 of 386
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Materialize ⇄ Azure Cosmos DB -
Materialize ⇄ Azure SQL Database -
Materialize ⇄ Citus -
Materialize ⇄ Couchbase -
MongoDB ⇄ Apache Druid -
MongoDB ⇄ Apache Hive -
MongoDB ⇄ Apache Impala -
MongoDB ⇄ Apache Kylin
No integrations match .
