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Data warehouse ⇄ Database

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

Keep MotherDuck and OpenSearch 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 OpenSearch

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

Stacksync covers both directions with one connection. Tables or collections in OpenSearch sync into MotherDuck in real time, and result tables in MotherDuck sync back into OpenSearch, 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
  • Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.
  • Index support tickets and activity logs from SaaS tools for operational dashboards.

Offload heavy reads

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

Operational data in the warehouse, minus the pipeline

Rows from OpenSearch 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 OpenSearch, where whatever reads from that database gets them without querying the warehouse.

What you can sync between MotherDuck and OpenSearch

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 OpenSearch objects
Views Modeled projections used as outbound sync sources. Indexes The core container; synced records land in indexes with defined mappings
Database Shares Read-only copies of a database shared with other users or teams. Documents JSON records written via the index and bulk APIs and read via search queries
Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills
Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. Index templates Mapping and settings presets applied to new indexes a sync creates
Schemas Namespaces within a database used to organize synced tables. Ingest pipelines Server-side processors that transform documents as they are written
Tables The main landing target for synced records and source for analysis. Data streams Append-oriented time-series storage for logs and events pushed from source systems
What ships with MotherDuck ⇄ OpenSearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MotherDuck or OpenSearch 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 OpenSearch record.

Observability

Monitoring

Track your MotherDuck ⇄ OpenSearch 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 OpenSearch.

How the MotherDuck and OpenSearch 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

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas
How it works

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

    Choose tables

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

MotherDuck and OpenSearch 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 OpenSearch.

Popular · 8 of 386
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