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Data warehouse ⇄ Database

MotherDuck to Oracle DB integration — real-time, two-way sync

Keep MotherDuck and Oracle DB 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 MotherDuck and Oracle DB

Connect Oracle DB 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 Oracle DB'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 Oracle DB where the services that read from it get them at normal query latency.

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

Common use cases

  • 01 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
  • 02 Sync modeled MotherDuck tables outward to operational tools for activation
  • 03 Log-based replication of order and inventory tables into an analytics warehouse instead of nightly batch dumps.
  • 04 Expose a curated subset of an on-prem Oracle ERP schema to cloud tools by syncing it to a managed Postgres.

Common sync patterns

Serve warehouse results at database speed

Aggregates or model outputs computed in MotherDuck sync into Oracle DB, 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 Oracle DB focused on its operational workload.

What you can sync between MotherDuck and Oracle DB

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.

MotherDuck objects Oracle DB objects How this pairing syncs
Schemas Namespaces within a database used to organize synced tables. Schemas Per-user namespaces that scope sync permissions and object visibility Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables The main landing target for synced records and source for analysis. Tables The primary read/write surface for row-level sync over SQL Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Modeled projections used as outbound sync sources. Views Curated read-only projections exposed to downstream consumers Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Database Shares Read-only copies of a database shared with other users or teams. PL/SQL procedures and packages In-database logic that can consume or transform synced data Database Shares is specific to MotherDuck and PL/SQL procedures and packages to Oracle DB — each maps to any object or custom field on the other side.
Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Partitions Physical subdivisions relevant when replicating high-volume tables Attached Local DuckDB Databases is specific to MotherDuck and Partitions to Oracle DB — each maps to any object or custom field on the other side.
Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. JSON columns Document data stored in the converged engine and synced alongside relational rows Databases is specific to MotherDuck and JSON columns to Oracle DB — each maps to any object or custom field on the other side.

How changes propagate between MotherDuck and Oracle DB

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.

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

Oracle DB MotherDuck Sub-second propagation

DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.

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

Rate-limit considerations

  • MotherDuck: Subject to the platform's compute and concurrency limits rather than per-request API rate limits.
  • Oracle DB: Throughput bounded by database resources rather than API quotas.
What ships with MotherDuck ⇄ Oracle DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MotherDuck or Oracle DB 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 MotherDuck or Oracle DB record.

Observability

Monitoring

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

Trading partners

EDI

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

How the MotherDuck and Oracle DB connectors work

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

Oracle DB

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
Authentication
database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
Change detection
log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by database resources rather than API quotas
How it works

How to connect MotherDuck to Oracle DB — 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 MotherDuck and Oracle DB 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
    MotherDuck connected
    Oracle DB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

MotherDuck and Oracle DB 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 401 integrations available for MotherDuck and Oracle DB.

Popular · 4 of 401
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