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Amazon RDS to MongoDB integration — real-time, two-way sync

Keep Amazon RDS 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.

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

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Why teams connect Amazon RDS and MongoDB

Keep Amazon RDS and MongoDB synchronized in real time, across engines, regions, or services, in one or both directions.

Teams sync Amazon RDS with MongoDB to bridge relational and document models. RDS Tables map to MongoDB Collections, so applications built on Documents and relational reporting built on SQL work from the same data.

Stacksync syncs tables or collections between Amazon RDS 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

  • 01 Run SQL reporting over data that originates as MongoDB Documents.
  • 02 Serve a document-model application from data mastered in RDS Tables.
  • 03 Keep Indexes and Views on both sides working over consistent data during a model migration.
  • 04 Keep an RDS reporting database hydrated from operational tools without maintaining ETL jobs

Common sync patterns

Relational-to-document sync

RDS Tables replicate into MongoDB Collections as Documents for application reads.

Document flattening

MongoDB Documents, including embedded documents and arrays, sync into RDS Tables for SQL analysis.

Two-way consistency

changes on either side propagate so Collections and Tables stay aligned.

What you can sync between Amazon RDS 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.

Amazon RDS objects MongoDB objects How this pairing syncs
Databases Engine-level databases on the instance that scope a sync's reads and writes. Databases Logical groupings of collections that scope a sync connection. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Read-side projections exposed to outbound syncs. Views Read-only aggregation-defined sources for filtered sync datasets. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Stored Procedures Engine-specific logic that can react to synced rows. Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. Stored Procedures is specific to Amazon RDS and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to isolate synced tables. Indexes Keep lookups by sync key fast on large collections. Schemas is specific to Amazon RDS and Indexes to MongoDB — each maps to any object or custom field on the other side.
Tables The core sync target; rows map to records in connected SaaS systems. Change streams The oplog-backed event feed that powers real-time change capture. Tables is specific to Amazon RDS and Change streams to MongoDB — each maps to any object or custom field on the other side.
Columns Field-level mapping targets, typed per the underlying engine. GridFS files Chunked file storage whose metadata can be referenced by synced documents. Columns is specific to Amazon RDS and GridFS files to MongoDB — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and MongoDB

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Amazon RDS MongoDB Sub-second propagation

DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.

DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.

MongoDB Amazon RDS Sub-second propagation

DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).

DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
What ships with Amazon RDS ⇄ MongoDB

Connect Amazon RDS and MongoDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–MongoDB connection.

Real-time

Two-way sync

Changes in Amazon RDS or MongoDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or MongoDB record.

Observability

Monitoring

Track your Amazon RDS ⇄ MongoDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon RDS and MongoDB.

How the Amazon RDS and MongoDB connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, and connection 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
MongoDB setup guide
How it works

How to connect Amazon RDS 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.

  1. 01

    Connect your apps

    Authenticate Amazon RDS 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon RDS connected
    MongoDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon RDS ⇄ MongoDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon RDS MongoDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon RDS and MongoDB integration FAQ

SECURITY

Security teams trust 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 488 integrations available for Amazon RDS and MongoDB.

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