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

Keep Amazon RDS and Apache Cassandra 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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Why teams connect Amazon RDS and Apache Cassandra

Keep Amazon RDS and Apache Cassandra 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 Amazon RDS and Apache Cassandra 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 Bi-directional sync between an RDS database and a CRM so application data and sales data stay consistent without custom integration code
  • 02 Mirror SaaS objects into RDS tables so product features can join business data with application data in one query
  • 03 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • 04 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.

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

What you can sync between Amazon RDS and Apache Cassandra

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.

Amazon RDS objects Apache Cassandra objects How this pairing syncs
Tables The core sync target; rows map to records in connected SaaS systems. Tables Wide-column tables addressed by partition key, the unit of row-level sync. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Read Replicas is specific to Amazon RDS and Materialized Views to Apache Cassandra — each maps to any object or custom field on the other side.
Stored Procedures Engine-specific logic that can react to synced rows. Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Stored Procedures is specific to Amazon RDS and Secondary Indexes to Apache Cassandra — each maps to any object or custom field on the other side.
Databases Engine-level databases on the instance that scope a sync's reads and writes. User-Defined Types Composite column types that syncs must flatten or map to structured fields. Databases is specific to Amazon RDS and User-Defined Types to Apache Cassandra — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to isolate synced tables. Collections List, set, and map columns handled with type-aware field mapping. Schemas is specific to Amazon RDS and Collections to Apache Cassandra — each maps to any object or custom field on the other side.
Views Read-side projections exposed to outbound syncs. Counters Increment-only counter columns, usually read-only in syncs. Views is specific to Amazon RDS and Counters to Apache Cassandra — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and Apache Cassandra

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.

Amazon RDS Apache Cassandra Sub-second propagation

DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.

DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.

Apache Cassandra Amazon RDS 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 Amazon RDS as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
What ships with Amazon RDS ⇄ Apache Cassandra

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS or Apache Cassandra 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 Amazon RDS or Apache Cassandra record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Amazon RDS and Apache Cassandra connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, and connection limits

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
How it works

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

    Choose tables

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

Amazon RDS and Apache Cassandra 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 380 integrations available for Amazon RDS and Apache Cassandra.

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