Skip to content
Data warehouse

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

Keep MotherDuck and Rockset 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect MotherDuck and Rockset

Keep tables consistent across MotherDuck and Rockset, for a migration, a multi-warehouse stack, or a dataset two platforms both need.

Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.

Stacksync syncs tables between MotherDuck and Rockset continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.

Common use cases

  • 01 Share curated, synced datasets with other teams through read-only database shares
  • 02 Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
  • 03 Serve real-time dashboards over CRM and ERP records synced from operational databases.
  • 04 Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.

Common sync patterns

Migration without a big bang

When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.

Serve tools that only connect to one platform

Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.

Shared datasets across teams

Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.

What you can sync between MotherDuck and Rockset

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 Rockset objects How this pairing syncs
Database Shares Read-only copies of a database shared with other users or teams. Virtual Instances Isolated compute units that separate ingest from query workloads. Database Shares is specific to MotherDuck and Virtual Instances to Rockset — 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. Collections Schemaless document containers that ingested and synced records land in. Attached Local DuckDB Databases is specific to MotherDuck and Collections to Rockset — 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. Documents JSON records addressable by _id, written via the Write API in sync pipelines. Databases is specific to MotherDuck and Documents to Rockset — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to organize synced tables. Workspaces Namespaces that group collections and query lambdas per team or environment. Schemas is specific to MotherDuck and Workspaces to Rockset — each maps to any object or custom field on the other side.
Tables The main landing target for synced records and source for analysis. Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. Tables is specific to MotherDuck and Query Lambdas to Rockset — each maps to any object or custom field on the other side.
Views Modeled projections used as outbound sync sources. Aliases Stable names that point at collections, used to swap datasets without changing queries. Views is specific to MotherDuck and Aliases to Rockset — each maps to any object or custom field on the other side.

How changes propagate between MotherDuck and Rockset

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

Rockset MotherDuck Interval-based propagation

DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.

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.
What ships with MotherDuck ⇄ Rockset

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MotherDuck or Rockset 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 Rockset record.

Observability

Monitoring

Track your MotherDuck ⇄ Rockset 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 Rockset.

How the MotherDuck and Rockset 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

Rockset

Integration surface
REST API (SQL over HTTP, plus a document Write API)
Authentication
API key
Change detection
Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
Capabilities
read · write
How it works

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

    Choose tables

    Pick the MotherDuck and Rockset 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 ⇄ Rockset
    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 Rockset
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

MotherDuck and Rockset 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 447 integrations available for MotherDuck and Rockset.

Popular · 3 of 447
All MotherDuck integrations All Rockset integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own