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Database ⇄ Data warehouse

MariaDB to MotherDuck integration — real-time, two-way sync

Keep MariaDB 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.

  • 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 MariaDB and MotherDuck

Connect MariaDB 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.

Operational databases and analytical warehouses want the same data at different moments. Analysts want MariaDB's rows in MotherDuck, 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 MariaDB where the services that read from it get them at normal query latency.

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

Common use cases

  • Share curated, synced datasets with other teams through read-only database shares
  • Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
  • Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled dumps
  • Keep several MariaDB instances aligned with one system of record across environments

Serve warehouse results at database speed

Aggregates or model outputs computed in MotherDuck sync into MariaDB, 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.

Offload heavy reads

Point analytical queries at the synced copy in MotherDuck and keep MariaDB focused on its operational workload.

What you can sync between MariaDB 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.

MariaDB objects MotherDuck objects
Views Read-side projections used as outbound sync sources. Schemas Namespaces within a database used to organize synced tables.
Columns Field-level mapping targets with engine-typed values. Tables The main landing target for synced records and source for analysis.
Primary and Unique Keys Match keys for idempotent upserts. Views Modeled projections used as outbound sync sources.
System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. Database Shares Read-only copies of a database shared with other users or teams.
JSON Columns Semi-structured payloads validated with JSON functions. Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries.
Stored Procedures Server-side logic that can post-process synced rows. Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes.
What ships with MariaDB ⇄ MotherDuck

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MariaDB 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 MariaDB or MotherDuck record.

Observability

Monitoring

Track your MariaDB ⇄ MotherDuck sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between MariaDB and MotherDuck.

How the MariaDB and MotherDuck connectors work

MariaDB

Integration surface
SQL wire protocol (MySQL-compatible client/server protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MariaDB setup guide

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 MariaDB 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 MariaDB 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
    MariaDB connected
    MotherDuck connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the MariaDB 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 · MariaDB ⇄ 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
    MariaDB MotherDuck
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MariaDB and MotherDuck integration FAQ

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.

Learn more about security
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:

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 386 integrations available for MariaDB and MotherDuck.

Popular · 8 of 386
All MariaDB integrations All MotherDuck integrations Browse all integrations
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