Real-time
Two-way sync
Changes in AWS Aurora MySQL or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora MySQL to Dynamo DB integration — real-time, two-way sync
Keep AWS Aurora MySQL 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect AWS Aurora MySQL and Dynamo DB
Keep AWS Aurora MySQL 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 AWS Aurora MySQL 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 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
- 02 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- 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
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.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between AWS Aurora MySQL 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.
| AWS Aurora MySQL objects | Dynamo DB objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | 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. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Primary keys and indexes is specific to AWS Aurora MySQL and Items to Dynamo DB — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | Views is specific to AWS Aurora MySQL and Attributes to Dynamo DB — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Foreign keys is specific to AWS Aurora MySQL and Partition and Sort Keys to Dynamo DB — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Stored procedures and triggers is specific to AWS Aurora MySQL and Global Secondary Indexes to Dynamo DB — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Databases (schemas) is specific to AWS Aurora MySQL and DynamoDB Streams to Dynamo DB — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL 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.
AWS Aurora MySQL Dynamo DB Sub-second propagation
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
DeliveryEach detected change is applied to Dynamo DB as a row-level write, with types converted between the two schemas.
Dynamo DB AWS Aurora MySQL 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 applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
What ships with AWS Aurora MySQL ⇄ Dynamo DB
Connect AWS Aurora MySQL and Dynamo DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Dynamo DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Dynamo DB record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ 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 AWS Aurora MySQL and Dynamo DB.
How the AWS Aurora MySQL and Dynamo DB connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
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 AWS Aurora MySQL 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 AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
Dynamo DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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 · AWS Aurora MySQL ⇄ 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.
AWS Aurora MySQL Dynamo DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Dynamo DB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Dynamo DB: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Tables and Primary keys and indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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AWS Aurora MySQL: Aurora MySQL is wire-compatible with MySQL, so any standard MySQL driver, ORM, or CDC tooling works without modification. Dynamo DB: DynamoDB Streams records item-level inserts, updates, and deletes in order per partition key, giving a native incremental feed. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Dynamo DB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora MySQL and Dynamo DB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and Dynamo DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Dynamo DB integration in-house.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL 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 AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. 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.
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
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 394 integrations available for AWS Aurora MySQL and Dynamo DB.
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