Two-way sync
Changes in Couchbase or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Keep Couchbase and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Couchbase and PostgreSQL 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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Couchbase and PostgreSQL, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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 | PostgreSQL objects | |
|---|---|---|
| Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | Views Read-side projections used to expose joined or filtered data to a sync. | |
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | |
| Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | |
| JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | |
| Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–PostgreSQL connection.
Changes in Couchbase or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Couchbase or PostgreSQL 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 PostgreSQL record.
Track your Couchbase ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Couchbase and PostgreSQL.
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 PostgreSQL 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 PostgreSQL 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 PostgreSQL: authenticate both systems, choose the objects to sync (such as Couchbase's Full-text search indexes and Buckets), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. On PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Couchbase side: Scopes, Collections, JSON Documents, Global Secondary Indexes, plus custom fields where Couchbase exposes them. On the PostgreSQL side: Primary and Unique Keys, JSONB Columns, Sequences, Custom Types and Enums. 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 PostgreSQL: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Couchbase: SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs. Authentication: Database credentials with role-based access control, typically over TLS. PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.
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 PostgreSQL.