Real-time
Two-way sync
Changes in MotherDuck or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
MotherDuck to YugabyteDB integration — real-time, two-way sync
Keep MotherDuck and YugabyteDB 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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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect MotherDuck and YugabyteDB
Connect YugabyteDB 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 YugabyteDB'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 YugabyteDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in YugabyteDB sync into MotherDuck in real time, and result tables in MotherDuck sync back into YugabyteDB, with schema and type mapping between the two systems handled for you.
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 Sync reference data such as pricing or entitlements from an ERP into YugabyteDB for globally distributed low-latency reads.
- 04 Consolidate data from regional YugabyteDB clusters into one reporting store.
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in MotherDuck sync into YugabyteDB, 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 YugabyteDB focused on its operational workload.
What you can sync between MotherDuck and YugabyteDB
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 | YugabyteDB objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to organize synced tables. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | 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 Distributed SQL tables split into tablets; the primary read and write targets. | 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. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | Database Shares is specific to MotherDuck and Databases and Keyspaces to YugabyteDB — 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. | Indexes Global secondary indexes maintained transactionally alongside table writes. | Attached Local DuckDB Databases is specific to MotherDuck and Indexes to YugabyteDB — 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. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | Databases is specific to MotherDuck and Materialized Views to YugabyteDB — each maps to any object or custom field on the other side. | |
| Views Modeled projections used as outbound sync sources. | Sequences ID generation objects relevant when syncing writes into YSQL tables. | Views is specific to MotherDuck and Sequences to YugabyteDB — each maps to any object or custom field on the other side. |
How changes propagate between MotherDuck and YugabyteDB
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 YugabyteDB 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 YugabyteDB as a row-level write, with types converted between the two schemas.
YugabyteDB MotherDuck Sub-second propagation
DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.
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.
- YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with MotherDuck ⇄ YugabyteDB
Connect MotherDuck and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MotherDuck or YugabyteDB 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 YugabyteDB record.
Observability
Monitoring
Track your MotherDuck ⇄ YugabyteDB 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 YugabyteDB.
How the MotherDuck and YugabyteDB 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
YugabyteDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
- Authentication
- Database credentials
- Change detection
- Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works
How to connect MotherDuck to YugabyteDB — 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.
- 01
Connect your apps
Authenticate MotherDuck and YugabyteDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
MotherDuck
connected
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MotherDuck and YugabyteDB 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.
objects · MotherDuck ⇄ YugabyteDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
MotherDuck YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MotherDuck and YugabyteDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MotherDuck and YugabyteDB: authenticate both systems, choose the objects to sync (such as MotherDuck's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed MotherDuck and YugabyteDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MotherDuck–YugabyteDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both MotherDuck and YugabyteDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on MotherDuck: Polling; no log-based CDC or webhook surface is exposed. On YugabyteDB: Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the MotherDuck side: Database Shares, Attached Local DuckDB Databases, Databases, Schemas, plus custom fields where MotherDuck exposes them. On the YugabyteDB side: CDC Streams, Databases and Keyspaces, Tables, Indexes. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
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:
Related integrations
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