Real-time
Two-way sync
Changes in Citus or Couchbase instantly reflect in both systems. No stale data, no manual imports.
Database
Citus to Couchbase integration — real-time, two-way sync
Keep Citus and Couchbase 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 Citus and Couchbase
Keep Citus and Couchbase synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Citus and Couchbase continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Consolidate per-tenant rows from distributed tables into per-customer reporting databases.
- 02 Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.
- 03 Two-way sync between Couchbase (serving application data) and a CRM so support and sales teams see live application state.
- 04 Consolidate documents from multiple Couchbase clusters into a single analytical store.
Common sync patterns
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Citus and Couchbase, so each workload runs on the engine that suits it.
What you can sync between Citus and Couchbase
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.
| Citus objects | Couchbase objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Schemas is specific to Citus and JSON Documents to Couchbase — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Views is specific to Citus and Global Secondary Indexes to Couchbase — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Sequences is specific to Citus and XDCR replications to Couchbase — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | Distributed tables is specific to Citus and Full-text search indexes to Couchbase — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Reference tables is specific to Citus and Buckets to Couchbase — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Local tables is specific to Citus and Scopes to Couchbase — each maps to any object or custom field on the other side. |
How changes propagate between Citus and Couchbase
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.
Citus Couchbase Sub-second propagation
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is applied to Couchbase as a row-level write, with types converted between the two schemas.
Couchbase Citus Sub-second propagation
DetectionChanges in Couchbase are captured at the source via change data capture — no polling loop against its API. Database Change Protocol (DCP) streams document mutations.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Couchbase: Throughput is bounded by cluster sizing rather than API rate limits.
What ships with Citus ⇄ Couchbase
Connect Citus and Couchbase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Couchbase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus or Couchbase 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 Citus or Couchbase record.
Observability
Monitoring
Track your Citus ⇄ Couchbase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and Couchbase.
How the Citus and Couchbase connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
Couchbase
- Integration surface
- SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs
- Authentication
- Database credentials with role-based access control, typically over TLS
- Change detection
- Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by cluster sizing rather than API rate limits
How it works
How to connect Citus to Couchbase — 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 Citus and Couchbase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Citus
connected
Couchbase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus and Couchbase 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 · Citus ⇄ CouchbaseCustomers 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.
Citus CouchbaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Couchbase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Citus and Couchbase: authenticate both systems, choose the objects to sync (such as Citus's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Citus and Couchbase. 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 Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Citus side: Reference tables, Local tables, Schemas, Views, plus custom fields where Citus exposes them. On the Couchbase side: Buckets, Scopes, Collections, JSON Documents. 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 Citus and Couchbase: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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
Every pair below is a real-time, two-way sync. Search all 349 integrations available for Citus and Couchbase.
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