Two-way sync
Changes in Couchbase or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Keep Couchbase and MotherDuck in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Couchbase'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 Couchbase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Couchbase sync into MotherDuck in real time, and result tables in MotherDuck sync back into Couchbase, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in MotherDuck and keep Couchbase focused on its operational workload.
Rows from Couchbase land in MotherDuck as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in MotherDuck sync into Couchbase, where whatever reads from that database gets them without querying the warehouse.
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.
| Couchbase objects | MotherDuck objects | |
|---|---|---|
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Schemas Namespaces within a database used to organize synced tables. | |
| Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Tables The main landing target for synced records and source for analysis. | |
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Views Modeled projections used as outbound sync sources. | |
| JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Database Shares Read-only copies of a database shared with other users or teams. | |
| Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | |
| XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–MotherDuck connection.
Changes in Couchbase or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Couchbase or MotherDuck data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Couchbase or MotherDuck record.
Track your Couchbase ⇄ MotherDuck sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Couchbase and MotherDuck.
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.
Authenticate Couchbase and MotherDuck with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Couchbase and MotherDuck 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Couchbase and MotherDuck: authenticate both systems, choose the objects to sync (such as Couchbase's Buckets and Scopes), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the MotherDuck side: Views, Database Shares, Attached Local DuckDB Databases, Databases, plus custom fields where MotherDuck exposes them. On the Couchbase side: Collections, JSON Documents, Global Secondary Indexes, XDCR replications. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Couchbase and MotherDuck: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in MotherDuck and keep Couchbase focused on its operational workload.
Couchbase: SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs. Authentication: Database credentials with role-based access control, typically over TLS. MotherDuck: 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. Stacksync manages authentication, retries, and rate limits on both sides.
MotherDuck: MotherDuck is built on DuckDB, so integrations use DuckDB SQL and connect through standard DuckDB client libraries with an md: connection string. Couchbase: The Database Change Protocol (DCP) exposes an ordered stream of document mutations, and it is the same mechanism Couchbase's own XDCR replication and Kafka connector consume. Stacksync's field mapping accounts for these differences between Couchbase and MotherDuck without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Couchbase and MotherDuck.