Real-time
Two-way sync
Changes in Couchbase or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Database
Couchbase to OpenSearch integration — real-time, two-way sync
Keep Couchbase and OpenSearch 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 Couchbase and OpenSearch
Keep Couchbase and OpenSearch 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 Couchbase and OpenSearch 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 Two-way sync between Couchbase (serving application data) and a CRM so support and sales teams see live application state.
- 02 Consolidate documents from multiple Couchbase clusters into a single analytical store.
- 03 Index support tickets and activity logs from SaaS tools for operational dashboards.
- 04 Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.
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 Couchbase and OpenSearch, so each workload runs on the engine that suits it.
What you can sync between Couchbase and OpenSearch
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 | OpenSearch objects | How this pairing syncs | |
|---|---|---|---|
| XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | XDCR replications is specific to Couchbase and Index aliases to OpenSearch — each maps to any object or custom field on the other side. | |
| Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | Index templates Mapping and settings presets applied to new indexes a sync creates | Full-text search indexes is specific to Couchbase and Index templates to OpenSearch — each maps to any object or custom field on the other side. | |
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Ingest pipelines Server-side processors that transform documents as they are written | Buckets is specific to Couchbase and Ingest pipelines to OpenSearch — each maps to any object or custom field on the other side. | |
| Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | Scopes is specific to Couchbase and Data streams to OpenSearch — each maps to any object or custom field on the other side. | |
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Snapshots Backup artifacts, relevant when reseeding an index from a repository | Collections is specific to Couchbase and Snapshots to OpenSearch — each maps to any object or custom field on the other side. | |
| JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Indexes The core container; synced records land in indexes with defined mappings | JSON Documents is specific to Couchbase and Indexes to OpenSearch — each maps to any object or custom field on the other side. |
How changes propagate between Couchbase and OpenSearch
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.
Couchbase OpenSearch 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 written to OpenSearch through its API, with automatic retries and rate-limit backoff.
OpenSearch Couchbase Interval-based propagation
DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is applied to Couchbase 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.
- OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
What ships with Couchbase ⇄ OpenSearch
Connect Couchbase and OpenSearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–OpenSearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Couchbase or OpenSearch 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 Couchbase or OpenSearch record.
Observability
Monitoring
Track your Couchbase ⇄ OpenSearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Couchbase and OpenSearch.
How the Couchbase and OpenSearch connectors work
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
OpenSearch
- Integration surface
- REST API over HTTP(S) with JSON payloads
- Authentication
- basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
- Change detection
- no native change feed; reads rely on queries with scroll or point-in-time polling
- Capabilities
- read · write
- Rate limits
- throughput bounded by cluster sizing rather than fixed API quotas
How it works
How to connect Couchbase to OpenSearch — 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 Couchbase and OpenSearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Couchbase
connected
OpenSearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Couchbase and OpenSearch 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 · Couchbase ⇄ OpenSearchCustomers 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.
Couchbase OpenSearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Couchbase and OpenSearch integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Couchbase and OpenSearch: authenticate both systems, choose the objects to sync (such as Couchbase's XDCR replications and Full-text search indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Couchbase side: Full-text search indexes, Buckets, Scopes, Collections, plus custom fields where Couchbase exposes them. On the OpenSearch side: Snapshots, Indexes, Documents, Index aliases. 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 OpenSearch: 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.
-
Couchbase: SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs. Authentication: Database credentials with role-based access control, typically over TLS. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. Stacksync manages authentication, retries, and rate limits on both sides.
-
Couchbase: SQL++ (N1QL) provides SQL-style querying over JSON documents, including joins across collections, so extraction can be query-shaped rather than key-by-key. OpenSearch: The bulk API accepts many index, update, and delete operations per request, which is how large indexes are kept current. Stacksync's field mapping accounts for these differences between Couchbase and OpenSearch without custom code.
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 341 integrations available for Couchbase and OpenSearch.
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