Real-time
Two-way sync
Changes in ClickHouse or Couchbase instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
ClickHouse to Couchbase integration — real-time, two-way sync
Keep ClickHouse 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 ClickHouse and Couchbase
Connect Couchbase and ClickHouse 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 Couchbase's rows in ClickHouse, 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 ClickHouse in real time, and result tables in ClickHouse sync back into Couchbase, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
- 02 Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
- 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
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 ClickHouse and keep Couchbase focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Couchbase land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.
What you can sync between ClickHouse 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.
| ClickHouse objects | Couchbase objects | How this pairing syncs | |
|---|---|---|---|
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Dictionaries is specific to ClickHouse and Buckets to Couchbase — each maps to any object or custom field on the other side. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Scopes Namespaces inside a bucket used to group collections, similar to schemas. | Tables (MergeTree family) is specific to ClickHouse and Scopes to Couchbase — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | Databases is specific to ClickHouse and Collections to Couchbase — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Views is specific to ClickHouse and JSON Documents to Couchbase — each maps to any object or custom field on the other side. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Materialized views is specific to ClickHouse and Global Secondary Indexes to Couchbase — each maps to any object or custom field on the other side. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Distributed tables is specific to ClickHouse and XDCR replications to Couchbase — each maps to any object or custom field on the other side. |
How changes propagate between ClickHouse 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.
ClickHouse Couchbase Interval-based propagation
DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
DeliveryEach detected change is applied to Couchbase as a row-level write, with types converted between the two schemas.
Couchbase ClickHouse 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 ClickHouse 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 ClickHouse ⇄ Couchbase
Connect ClickHouse and Couchbase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Couchbase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever ClickHouse 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 ClickHouse or Couchbase record.
Observability
Monitoring
Track your ClickHouse ⇄ Couchbase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between ClickHouse and Couchbase.
How the ClickHouse and Couchbase connectors work
ClickHouse
- Integration surface
- Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
- Authentication
- Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
- Change detection
- No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
- Capabilities
- read · write
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 ClickHouse 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 ClickHouse 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.
ClickHouse
connected
Couchbase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the ClickHouse 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 · ClickHouse ⇄ 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.
ClickHouse CouchbaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
ClickHouse and Couchbase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between ClickHouse and Couchbase: authenticate both systems, choose the objects to sync (such as ClickHouse's Dictionaries and Tables (MergeTree family)), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for ClickHouse and Couchbase: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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ClickHouse: Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available. Authentication: Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS. Couchbase: SQL++ (N1QL) query service, key-value SDK APIs, and REST management APIs. Authentication: Database credentials with role-based access control, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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ClickHouse: Storage is columnar and organized by the MergeTree engine family, which makes large batched inserts far more efficient than single-row writes. 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. Stacksync's field mapping accounts for these differences between ClickHouse and Couchbase without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means ClickHouse and Couchbase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed ClickHouse and Couchbase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom ClickHouse–Couchbase integration in-house.
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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