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Database ⇄ Data warehouse

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

Keep Amazon RDS and MotherDuck 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 MotherDuck

Connect Amazon RDS and MotherDuck with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Connecting Amazon RDS to MotherDuck moves operational data into an analytics warehouse without ETL pipelines. RDS Tables and Views replicate into MotherDuck Databases and Schemas, where DuckDB queries and Database Shares take over.

Stacksync covers both directions with one connection. Tables or collections in Amazon RDS sync into MotherDuck in real time, and result tables in MotherDuck sync back into Amazon RDS, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Offload analytical queries from the RDS production database to MotherDuck.
  • 02 Distribute RDS-sourced datasets via Database Shares instead of ad hoc exports.
  • 03 Analyze production Tables locally in DuckDB without touching RDS.
  • 04 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management

Common sync patterns

Operational-to-analytics sync

RDS Tables replicate into MotherDuck Schemas for warehouse queries.

Shared analytics

synced data is exposed through MotherDuck Database Shares for other teams.

Local analysis

attached local DuckDB databases query the MotherDuck copy of RDS data.

What you can sync between Amazon RDS and MotherDuck

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 MotherDuck objects How this pairing syncs
Databases Engine-level databases on the instance that scope a sync's reads and writes. Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Schemas Namespaces within a database used to isolate synced tables. Schemas Namespaces within a database used to organize synced tables. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables The core sync target; rows map to records in connected SaaS systems. Tables The main landing target for synced records and source for analysis. 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 Modeled projections used as outbound sync sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Primary and Unique Keys Match keys for idempotent upserts. Database Shares Read-only copies of a database shared with other users or teams. Primary and Unique Keys is specific to Amazon RDS and Database Shares to MotherDuck — each maps to any object or custom field on the other side.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Read Replicas is specific to Amazon RDS and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and MotherDuck

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 MotherDuck 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 MotherDuck as a row-level write, with types converted between the two schemas.

MotherDuck Amazon RDS Interval-based propagation

DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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.
  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
What ships with Amazon RDS ⇄ MotherDuck

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS or MotherDuck 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 MotherDuck record.

Observability

Monitoring

Track your Amazon RDS ⇄ MotherDuck 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 MotherDuck.

How the Amazon RDS and MotherDuck 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

MotherDuck

Integration surface
SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication
Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection
Polling; no log-based CDC or webhook surface is exposed
Capabilities
read · write
Rate limits
Subject to the platform's compute and concurrency limits rather than per-request API rate limits
MotherDuck setup guide
How it works

How to connect Amazon RDS to MotherDuck — 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 MotherDuck 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
    MotherDuck connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS and MotherDuck 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 ⇄ MotherDuck
    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 MotherDuck
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon RDS and MotherDuck 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 397 integrations available for Amazon RDS and MotherDuck.

Popular · 3 of 397
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