Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora PostgreSQL to Dynamo DB integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Dynamo DB
Keep AWS Aurora PostgreSQL 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 PostgreSQL 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 JSONB-heavy application data into structured objects in downstream business systems.
- 02 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
- 03 Sync customer records between DynamoDB-backed services and a CRM so support and sales see live application state.
- 04 Mirror SaaS objects into DynamoDB items to serve low-latency lookups from production services.
Common sync patterns
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 AWS Aurora PostgreSQL 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.
What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects | Dynamo DB objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | 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. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Columns is specific to AWS Aurora PostgreSQL and Partition and Sort Keys to Dynamo DB — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Global Secondary Indexes to Dynamo DB — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Views and materialized views is specific to AWS Aurora PostgreSQL and DynamoDB Streams to Dynamo DB — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Foreign keys is specific to AWS Aurora PostgreSQL and Global Tables to Dynamo DB — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Items to Dynamo DB — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL Dynamo DB Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ Dynamo DB
Connect AWS Aurora PostgreSQL and Dynamo DB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Dynamo DB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or Dynamo DB record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and Dynamo DB.
How the AWS Aurora PostgreSQL and Dynamo DB connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL
connected
Dynamo DB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL 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 PostgreSQL ⇄ 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 PostgreSQL Dynamo DBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Dynamo DB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Dynamo DB: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Tables and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL 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 PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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.
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On the AWS Aurora PostgreSQL side: Databases and schemas, Tables, Rows, Columns, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Dynamo DB side: Partition and Sort Keys, Global Secondary Indexes, DynamoDB Streams, Global 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.
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Common patterns for AWS Aurora PostgreSQL and Dynamo DB: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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
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