Real-time
Two-way sync
Changes in Dynamo DB or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Database
Dynamo DB to MongoDB integration — real-time, two-way sync
Keep Dynamo DB 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
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dynamo DB and MongoDB
Keep Dynamo DB 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 Dynamo DB 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
- Consolidate multi-region Global Tables data into a single reporting store.
- Replace ad-hoc export scripts with continuous sync driven by DynamoDB Streams.
- 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.
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 Dynamo DB and MongoDB, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
What you can sync between Dynamo DB 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.
| Dynamo DB objects | MongoDB objects | |
|---|---|---|
| Tables The top-level containers a sync targets; each table is addressed independently. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | |
| Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | |
| Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | Indexes Keep lookups by sync key fast on large collections. | |
| Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Views Read-only aggregation-defined sources for filtered sync datasets. | |
| Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| DynamoDB Streams Ordered item-level change records consumed for incremental sync. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. |
What ships with Dynamo DB ⇄ MongoDB
Connect Dynamo DB and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dynamo DB 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 Dynamo DB or MongoDB record.
Observability
Monitoring
Track your Dynamo DB ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dynamo DB and MongoDB.
How the Dynamo DB and MongoDB connectors work
Dynamo DB
- Integration surface
- Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
- Authentication
- AWS IAM credentials with SigV4 request signing
- Change detection
- Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is governed by the table's provisioned or on-demand capacity mode
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 Dynamo DB 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 Dynamo DB 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.
Dynamo DB
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dynamo DB 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 · Dynamo DB ⇄ 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.
Dynamo DB MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dynamo DB and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dynamo DB and MongoDB: authenticate both systems, choose the objects to sync (such as Dynamo DB's Tables and Items), 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 Dynamo DB 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 Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. 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 Dynamo DB side: DynamoDB Streams, Global Tables, Tables, Items, plus custom fields where Dynamo DB exposes them. On the MongoDB side: Change streams, GridFS files, Databases, Collections. 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 Dynamo DB and MongoDB: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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 Dynamo DB and MongoDB.
Popular · 8 of 386
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Dynamo DB ⇄ Azure SQL Database -
Dynamo DB ⇄ Citus -
Dynamo DB ⇄ Couchbase -
Dynamo DB ⇄ DuckDB -
MongoDB ⇄ MariaDB -
MongoDB ⇄ SQL Server -
MongoDB ⇄ Postgres Heroku -
MongoDB ⇄ Airtable
No integrations match .
