Skip to content
Database

Apache Cassandra to Couchbase integration — real-time, two-way sync

Keep Apache Cassandra 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Cassandra and Couchbase

Keep Apache Cassandra 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 Apache Cassandra 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 Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.
  • 02 Feed Cassandra change streams into search indexes or caches that must track the source of truth.
  • 03 Consolidate documents from multiple Couchbase clusters into a single analytical store.
  • 04 Write cleaned or enriched records from operational databases back into Couchbase collections that applications read.

Common sync patterns

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 Apache Cassandra and Couchbase, so each workload runs on the engine that suits it.

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

What you can sync between Apache Cassandra 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.

Apache Cassandra objects Couchbase objects How this pairing syncs
Collections List, set, and map columns handled with type-aware field mapping. Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Scopes Namespaces inside a bucket used to group collections, similar to schemas. Tables is specific to Apache Cassandra and Scopes to Couchbase — each maps to any object or custom field on the other side.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. Partitions and Rows is specific to Apache Cassandra and JSON Documents to Couchbase — each maps to any object or custom field on the other side.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. Materialized Views is specific to Apache Cassandra and Global Secondary Indexes to Couchbase — each maps to any object or custom field on the other side.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. Secondary Indexes is specific to Apache Cassandra and XDCR replications to Couchbase — each maps to any object or custom field on the other side.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Full-text search indexes Search indexes over documents, relevant when syncing searchable content. User-Defined Types is specific to Apache Cassandra and Full-text search indexes to Couchbase — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra 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.

Apache Cassandra Couchbase Sub-second propagation

DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.

DeliveryEach detected change is applied to Couchbase as a row-level write, with types converted between the two schemas.

Couchbase Apache Cassandra 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 Apache Cassandra through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
  • Couchbase: Throughput is bounded by cluster sizing rather than API rate limits.
What ships with Apache Cassandra ⇄ Couchbase

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra or Couchbase record.

Observability

Monitoring

Track your Apache Cassandra ⇄ Couchbase sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Couchbase.

How the Apache Cassandra and Couchbase connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

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 Apache Cassandra 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.

  1. 01

    Connect your apps

    Authenticate Apache Cassandra 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.

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

    Choose tables

    Pick the Apache Cassandra 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Cassandra ⇄ Couchbase
    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
    Apache Cassandra Couchbase
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apache Cassandra and Couchbase integration FAQ

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 347 integrations available for Apache Cassandra and Couchbase.

Popular · 4 of 347
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.