Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Shipwire instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ E-commerce
AWS Aurora PostgreSQL to Shipwire integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and Shipwire 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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Why teams connect AWS Aurora PostgreSQL and Shipwire
Give your engineers Shipwire's products, orders, and customers in AWS Aurora PostgreSQL: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Orders, Products, Stock, Receivings from Shipwire into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever Shipwire holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in AWS Aurora PostgreSQL, such as new prices, stock levels, or fulfillment status, sync back into Shipwire with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Common use cases
- 01 Feed operational dashboards from a read replica while the writer handles sync traffic.
- 02 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
- 03 Read Stock levels per warehouse into an operational database or storefront so availability and backorder state reflect real inventory.
- 04 Sync Receivings (advance ship notices) and reconcile them against Purchase Orders so inbound supplier shipments are visible as they land.
Common sync patterns
React to store changes
Updates in Shipwire arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond the moment an order, price, or stock level changes.
Keep catalog and inventory current
Prices, stock levels, or product details maintained in AWS Aurora PostgreSQL sync back onto Shipwire, so the storefront shows what your systems treat as true.
Order data where your code can use it
Orders and their status become rows in AWS Aurora PostgreSQL for routing, fulfillment, and reporting, without polling the platform.
What you can sync between AWS Aurora PostgreSQL and Shipwire
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 | Shipwire objects | How this pairing syncs | |
|---|---|---|---|
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Orders B2C fulfillment orders (create, update, cancel, get) with item, hold, routing, and tracking subresources; typically written from a storefront or ERP and synced back with status and trackings. | Databases and schemas is specific to AWS Aurora PostgreSQL and Orders to Shipwire — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Products Catalog SKUs including kits, virtual kits, and marketplace products; created and edited via API, commonly mastered in a PIM or ERP and pushed into Shipwire with dimensions and pricing. | Tables is specific to AWS Aurora PostgreSQL and Products to Shipwire — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Stock Real-time per-warehouse inventory levels; read-only, pulled into a database or storefront so availability reflects on-hand and backordered quantities. | Rows is specific to AWS Aurora PostgreSQL and Stock to Shipwire — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Receivings Inbound advance ship notices (ASNs) from suppliers; created and updated via API and reconciled against Purchase Orders as inventory arrives at a warehouse. | Columns is specific to AWS Aurora PostgreSQL and Receivings to Shipwire — 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. | Returns Return orders raised against existing Orders; created via API and read back into support or analytics systems for reverse-logistics tracking. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Returns to Shipwire — 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. | Purchase Orders B2B orders with retailer-specific routing and compliance fields; managed via API alongside receivings for wholesale and marketplace fulfillment. | Views and materialized views is specific to AWS Aurora PostgreSQL and Purchase Orders to Shipwire — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL and Shipwire
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 Shipwire 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 written to Shipwire through its API, with automatic retries and rate-limit backoff.
Shipwire AWS Aurora PostgreSQL Sub-second propagation
DetectionShipwire notifies Stacksync of record changes through webhook events. Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Shipwire: No published per-second request cap; list responses page at 20 items (recommended max ~200) and webhook payloads carry at most 20 items per resource, so large records must be paged via the response next links.
What ships with AWS Aurora PostgreSQL ⇄ Shipwire
Connect AWS Aurora PostgreSQL and Shipwire for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Shipwire connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or Shipwire 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 Shipwire record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ Shipwire 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 Shipwire.
How the AWS Aurora PostgreSQL and Shipwire 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
Shipwire
- Integration surface
- REST API (v3)
- Authentication
- Bearer token sent as `Authorization: ShipwireKey <token>`; up to two keys are generated per account on the Users and Roles page, refreshable/expirable, over HTTPS only (separate sandbox at api.beta.shipwire.com)
- Change detection
- Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics; polling the list endpoints as a fallback (no CDC/log stream)
- Capabilities
- read · write · webhooks
- Rate limits
- No published per-second request cap; list responses page at 20 items (recommended max ~200) and webhook payloads carry at most 20 items per resource, so large records must be paged via the response next links.
How it works
How to connect AWS Aurora PostgreSQL to Shipwire — 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 Shipwire 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
Shipwire
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and Shipwire 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 ⇄ ShipwireCustomers 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 ShipwireCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Shipwire integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Shipwire: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Databases and schemas and Tables), 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 Shipwire. 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 Shipwire: Webhooks (HMAC-SHA256 signed, near real-time) on order, tracking, stock, receiving, return, and product topics; polling the list endpoints as a fallback (no CDC/log stream). 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 Shipwire side: Orders, Products, Stock, Receivings. 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 Shipwire: React to store changes; Keep catalog and inventory current; Order data where your code can use it. Updates in Shipwire arrive as row changes in AWS Aurora PostgreSQL, so jobs and triggers can respond the moment an order, price, or stock level changes.
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 410 integrations available for AWS Aurora PostgreSQL and Shipwire.
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Shipwire ⇄ Amazon RDS -
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No integrations match .
