Real-time
Two-way sync
Changes in Apache Cassandra or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Database
Apache Cassandra to Dynamo DB integration — real-time, two-way sync
Keep Apache Cassandra and Dynamo DB 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 Dynamo DB
Keep Apache Cassandra and Dynamo DB 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 Dynamo DB 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 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
- 02 Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.
- 03 Consolidate multi-region Global Tables data into a single reporting store.
- 04 Replace ad-hoc export scripts with continuous sync driven by DynamoDB Streams.
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Apache Cassandra and Dynamo DB, 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 Dynamo DB
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 | Dynamo DB objects | How this pairing syncs | |
|---|---|---|---|
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Tables The top-level containers a sync targets; each table is addressed independently. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Counters is specific to Apache Cassandra and Partition and Sort Keys to Dynamo DB — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Keyspaces is specific to Apache Cassandra and Global Secondary Indexes to Dynamo DB — 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. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Partitions and Rows is specific to Apache Cassandra and DynamoDB Streams to Dynamo DB — 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 Tables Multi-region replicas relevant when syncs must read from a specific region. | Materialized Views is specific to Apache Cassandra and Global Tables to Dynamo DB — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Secondary Indexes is specific to Apache Cassandra and Items to Dynamo DB — each maps to any object or custom field on the other side. |
How changes propagate between Apache Cassandra and Dynamo DB
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 Dynamo DB 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 Dynamo DB as a row-level write, with types converted between the two schemas.
Dynamo DB Apache Cassandra Sub-second propagation
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
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.
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
What ships with Apache Cassandra ⇄ Dynamo DB
Connect Apache Cassandra and Dynamo DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Dynamo DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Cassandra or Dynamo DB 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 Dynamo DB record.
Observability
Monitoring
Track your Apache Cassandra ⇄ Dynamo DB 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 Dynamo DB.
How the Apache Cassandra and Dynamo DB 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
Dynamo DB
- Integration surface
- Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
- Authentication
- AWS IAM credentials with SigV4 request signing
- Change detection
- Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is governed by the table's provisioned or on-demand capacity mode
How it works
How to connect Apache Cassandra to Dynamo DB — 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.
- 01
Connect your apps
Authenticate Apache Cassandra and Dynamo DB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Cassandra
connected
Dynamo DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Cassandra and Dynamo DB 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.
objects · Apache Cassandra ⇄ Dynamo DBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Apache Cassandra Dynamo DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and Dynamo DB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Cassandra and Dynamo DB: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Tables and Counters), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and Dynamo DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Dynamo DB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Dynamo DB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Apache Cassandra side: Secondary Indexes, User-Defined Types, Collections, Counters, plus custom fields where Apache Cassandra exposes them. On the Dynamo DB side: Global Secondary Indexes, DynamoDB Streams, Global Tables, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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
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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 376 integrations available for Apache Cassandra and Dynamo DB.
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