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

Keep Apache Cassandra and Google AlloyDB 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 Google AlloyDB

Keep Apache Cassandra and Google AlloyDB 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 Google AlloyDB 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 Consolidate data from multiple keyspaces or clusters into one reporting store.
  • 02 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • 03 Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
  • 04 Use logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.

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

What you can sync between Apache Cassandra and Google AlloyDB

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 Google AlloyDB objects How this pairing syncs
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Tables Primary read/write target for bi-directional sync with CRMs and other systems. 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 aggregates refreshed and synced outward on a schedule. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Sequences ID generation relevant when external systems insert rows. User-Defined Types is specific to Apache Cassandra and Sequences to Google AlloyDB — each maps to any object or custom field on the other side.
Collections List, set, and map columns handled with type-aware field mapping. Replication Slots Logical replication artifacts that back log-based change capture. Collections is specific to Apache Cassandra and Replication Slots to Google AlloyDB — each maps to any object or custom field on the other side.
Counters Increment-only counter columns, usually read-only in syncs. Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. Counters is specific to Apache Cassandra and Databases to Google AlloyDB — each maps to any object or custom field on the other side.
Keyspaces Top-level namespaces with replication settings that scope a sync connection. Schemas Namespaces used to separate synced SaaS data from application tables. Keyspaces is specific to Apache Cassandra and Schemas to Google AlloyDB — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and Google AlloyDB

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

Google AlloyDB Apache Cassandra Sub-second propagation

DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.

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.
  • Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with Apache Cassandra ⇄ Google AlloyDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Google AlloyDB 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 Google AlloyDB record.

Observability

Monitoring

Track your Apache Cassandra ⇄ Google AlloyDB 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 Google AlloyDB.

How the Apache Cassandra and Google AlloyDB 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

Google AlloyDB

Integration surface
SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
Capabilities
read · write · CDC
Rate limits
No API-style rate limits; throughput is bounded by instance size
How it works

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

    Choose tables

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

Apache Cassandra and Google AlloyDB 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
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:

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 373 integrations available for Apache Cassandra and Google AlloyDB.

Popular · 6 of 373
All Apache Cassandra integrations All Google AlloyDB integrations Browse all integrations
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