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Database ⇄ Data warehouse

Couchbase to Materialize integration — real-time, two-way sync

Keep Couchbase and Materialize 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Couchbase and Materialize

Connect Couchbase and Materialize 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 Materialize, 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 Materialize in real time, and result tables in Materialize sync back into Couchbase, with schema and type mapping between the two systems handled for you.

Common use cases

  • Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
  • Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
  • Consolidate documents from multiple Couchbase clusters into a single analytical store.
  • Write cleaned or enriched records from operational databases back into Couchbase collections that applications read.

Offload heavy reads

Point analytical queries at the synced copy in Materialize and keep Couchbase focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Couchbase land in Materialize as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Materialize sync into Couchbase, where whatever reads from that database gets them without querying the warehouse.

What you can sync between Couchbase and Materialize

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 Materialize objects
Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. Connections & Secrets Stored credentials and endpoints used by sources and sinks.
Scopes Namespaces inside a bucket used to group collections, similar to schemas. Schemas & Databases Namespaces that organize objects a sync targets.
Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines.
JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize.
Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets.
XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. Sinks Outbound connections that emit view changes to Kafka topics.
What ships with Couchbase ⇄ Materialize

Connect Couchbase and Materialize for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–Materialize connection.

Real-time

Two-way sync

Changes in Couchbase or Materialize instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Couchbase or Materialize 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 Materialize record.

Observability

Monitoring

Track your Couchbase ⇄ Materialize 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 Materialize.

How the Couchbase and Materialize 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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

How to connect Couchbase to Materialize — 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.

  1. 01

    Connect your apps

    Authenticate Couchbase and Materialize with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Couchbase connected
    Materialize connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Couchbase and Materialize 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Couchbase ⇄ Materialize
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Couchbase Materialize
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Couchbase and Materialize integration FAQ

SECURITY

Security teams love 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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Couchbase and Materialize.

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