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Data warehouse ⇄ Database

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

Keep MotherDuck and RavenDB 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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  • 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 RavenDB

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

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

Common use cases

  • Sync modeled MotherDuck tables outward to operational tools for activation
  • Share curated, synced datasets with other teams through read-only database shares
  • Mirror reference data from relational systems into RavenDB collections that serve application reads.
  • Consolidate documents from distributed RavenDB clusters into one reporting store.

Operational data in the warehouse, minus the pipeline

Rows from RavenDB land in MotherDuck as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

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

What you can sync between MotherDuck and RavenDB

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 RavenDB objects
Tables The main landing target for synced records and source for analysis. Documents JSON records, the primary unit read and written during sync
Views Modeled projections used as outbound sync sources. Collections Groupings of documents by type, mapped to tables in relational targets
Database Shares Read-only copies of a database shared with other users or teams. Indexes Static and auto indexes used to query documents for filtered reads
Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Attachments Binary payloads stored with documents, handled separately from the JSON body
Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Revisions Historical versions of documents, useful for audit-oriented replication
Schemas Namespaces within a database used to organize synced tables. Counters Numeric values attached to documents that change independently of the document body
What ships with MotherDuck ⇄ RavenDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MotherDuck or RavenDB 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 RavenDB record.

Observability

Monitoring

Track your MotherDuck ⇄ RavenDB 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 RavenDB.

How the MotherDuck and RavenDB 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

RavenDB

Integration surface
HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
Authentication
X.509 client certificates on secured servers, instead of username and password
Change detection
data subscriptions and the Changes API provide server-pushed change feeds
Capabilities
read · write · CDC
Rate limits
throughput bounded by cluster resources rather than API quotas
How it works

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

    Choose tables

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

MotherDuck and RavenDB 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 MotherDuck and RavenDB.

Popular · 8 of 386
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