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Database ⇄ E-commerce

AWS Aurora MySQL to Shipwire integration — real-time, two-way sync

Keep AWS Aurora MySQL 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.

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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 MySQL and Shipwire

Give your engineers Shipwire's products, orders, and customers in AWS Aurora MySQL: 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 Returns, Purchase Orders, Trackings, Rates from Shipwire into AWS Aurora MySQL 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 MySQL, 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 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 Pull Returns and tracking.delivered events into a support or analytics database for reverse-logistics and delivery-SLA reporting.
  • 04 Two-way sync Orders between a storefront or ERP database and Shipwire so new orders create fulfillment requests and Stacksync writes Trackings and status (processed, submitted, delivered) back.

Common sync patterns

Order data where your code can use it

Orders and their status become rows in AWS Aurora MySQL for routing, fulfillment, and reporting, without polling the platform.

Controlled write-back

Choose exactly which tables and fields may flow from AWS Aurora MySQL back into Shipwire, keeping the store authoritative on what it owns.

Read the store's data with a query

Records from Shipwire, whether products, orders, customers, or inventory, live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.

What you can sync between AWS Aurora MySQL 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 MySQL objects Shipwire objects How this pairing syncs
Views Can serve as read-only sync sources for derived or filtered datasets. Stock Real-time per-warehouse inventory levels; read-only, pulled into a database or storefront so availability reflects on-hand and backordered quantities. Views is specific to AWS Aurora MySQL and Stock to Shipwire — 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. Receivings Inbound advance ship notices (ASNs) from suppliers; created and updated via API and reconciled against Purchase Orders as inventory arrives at a warehouse. Foreign keys is specific to AWS Aurora MySQL and Receivings to Shipwire — 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. Returns Return orders raised against existing Orders; created via API and read back into support or analytics systems for reverse-logistics tracking. Stored procedures and triggers is specific to AWS Aurora MySQL and Returns to Shipwire — 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. Purchase Orders B2B orders with retailer-specific routing and compliance fields; managed via API alongside receivings for wholesale and marketplace fulfillment. Databases (schemas) is specific to AWS Aurora MySQL and Purchase Orders to Shipwire — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Trackings Shipment tracking numbers and carrier status returned as an Order subresource and surfaced through tracking.created, tracking.updated, and tracking.delivered webhook topics. Tables is specific to AWS Aurora MySQL and Trackings to Shipwire — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Rates Shipping cost quotes for a cart or order; read-only, called at checkout time to estimate carrier costs rather than synced as stored records. Rows is specific to AWS Aurora MySQL and Rates to Shipwire — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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 MySQL Shipwire 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 written to Shipwire through its API, with automatic retries and rate-limit backoff.

Shipwire AWS Aurora MySQL 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 MySQL 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 MySQL ⇄ Shipwire

Connect AWS Aurora MySQL and Shipwire for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Shipwire connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Shipwire instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or Shipwire record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 MySQL and Shipwire.

How the AWS Aurora MySQL and Shipwire 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

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 MySQL 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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora MySQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    Shipwire connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Shipwire
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL Shipwire
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and Shipwire integration FAQ

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.

Learn more about security
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ISO 27001
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 408 integrations available for AWS Aurora MySQL and Shipwire.

Popular · 7 of 408
All AWS Aurora MySQL integrations All Shipwire integrations Browse all integrations
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