Two-way sync
Changes in Apache Cassandra or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Keep the same dataset live in both Apache Cassandra and Dynamo DB, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 | |
|---|---|---|
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | |
| Collections List, set, and map columns handled with type-aware field mapping. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Global Tables Multi-region replicas relevant when syncs must read from a specific region. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Tables The top-level containers a sync targets; each table is addressed independently. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Dynamo DB connection.
Changes in Apache Cassandra or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Dynamo DB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or Dynamo DB record.
Track your Apache Cassandra ⇄ Dynamo DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Dynamo DB.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
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 Secondary Indexes and User-Defined Types), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
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.
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.
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.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Cassandra and Dynamo DB.