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

Keep Apache Cassandra and YugabyteDB 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 Apache Cassandra and YugabyteDB

Keep Apache Cassandra and YugabyteDB 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 YugabyteDB 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 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • 02 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
  • 03 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
  • 04 Two-way sync between YugabyteDB application tables and a CRM so product data and account records stay consistent.

Common sync patterns

Cross-engine sync

Keep the same dataset live in both Apache Cassandra and YugabyteDB, 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.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

What you can sync between Apache Cassandra and YugabyteDB

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 YugabyteDB objects How this pairing syncs
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Tables Distributed SQL tables split into tablets; the primary read and write targets. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Materialized Views Precomputed query results available in YSQL for read-side shaping. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Keyspaces Top-level namespaces with replication settings that scope a sync connection. Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. Keyspaces is specific to Apache Cassandra and Databases and Keyspaces to YugabyteDB — 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. Indexes Global secondary indexes maintained transactionally alongside table writes. Partitions and Rows is specific to Apache Cassandra and Indexes to YugabyteDB — each maps to any object or custom field on the other side.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Schemas Postgres-style namespaces in YSQL used to organize synced data. Secondary Indexes is specific to Apache Cassandra and Schemas to YugabyteDB — 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. Sequences ID generation objects relevant when syncing writes into YSQL tables. User-Defined Types is specific to Apache Cassandra and Sequences to YugabyteDB — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and YugabyteDB

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 YugabyteDB 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 YugabyteDB as a row-level write, with types converted between the two schemas.

YugabyteDB Apache Cassandra Sub-second propagation

DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.

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.
  • YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with Apache Cassandra ⇄ YugabyteDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or YugabyteDB 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 YugabyteDB record.

Observability

Monitoring

Track your Apache Cassandra ⇄ YugabyteDB 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 YugabyteDB.

How the Apache Cassandra and YugabyteDB 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

YugabyteDB

Integration surface
SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
Authentication
Database credentials
Change detection
Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works

How to connect Apache Cassandra to YugabyteDB — 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 YugabyteDB 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
    YugabyteDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra and YugabyteDB 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 ⇄ YugabyteDB
    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 YugabyteDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and YugabyteDB 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.

Learn more about security
SOC 2 Type II
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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 355 integrations available for Apache Cassandra and YugabyteDB.

Popular · 5 of 355
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