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Database ⇄ E-commerce

Jdbc to Shipwire integration — real-time, two-way sync

Keep Jdbc 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 Jdbc and Shipwire

Give your engineers Shipwire's products, orders, and customers in Jdbc: 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 Stock, Receivings, Returns, Purchase Orders from Shipwire into Jdbc 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 Jdbc, 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 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
  • 02 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
  • 03 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.
  • 04 Push Products, kits, and their dimensions and pricing from a PIM or ERP into the Shipwire catalog and keep SKUs aligned.

Common sync patterns

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Shipwire API, rate limits, and retries.

React to store changes

Updates in Shipwire arrive as row changes in Jdbc, 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 Jdbc sync back onto Shipwire, so the storefront shows what your systems treat as true.

What you can sync between Jdbc 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.

Jdbc objects Shipwire objects How this pairing syncs
Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. Purchase Orders B2B orders with retailer-specific routing and compliance fields; managed via API alongside receivings for wholesale and marketplace fulfillment. Schemas & catalogs is specific to Jdbc and Purchase Orders to Shipwire — each maps to any object or custom field on the other side.
Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Trackings Shipment tracking numbers and carrier status returned as an Order subresource and surfaced through tracking.created, tracking.updated, and tracking.delivered webhook topics. Stored procedures & functions is specific to Jdbc and Trackings to Shipwire — each maps to any object or custom field on the other side.
Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. 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. Sequences is specific to Jdbc and Rates to Shipwire — each maps to any object or custom field on the other side.
Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. 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. Tables is specific to Jdbc and Orders to Shipwire — each maps to any object or custom field on the other side.
Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. 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. Views is specific to Jdbc and Products to Shipwire — each maps to any object or custom field on the other side.
Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Stock Real-time per-warehouse inventory levels; read-only, pulled into a database or storefront so availability reflects on-hand and backordered quantities. Columns is specific to Jdbc and Stock to Shipwire — each maps to any object or custom field on the other side.

How changes propagate between Jdbc 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.

Jdbc Shipwire Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is written to Shipwire through its API, with automatic retries and rate-limit backoff.

Shipwire Jdbc 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 Jdbc as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
  • 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 Jdbc ⇄ Shipwire

Connect Jdbc and Shipwire for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jdbc 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 Jdbc or Shipwire record.

Observability

Monitoring

Track your Jdbc ⇄ Shipwire sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Jdbc and Shipwire.

How the Jdbc and Shipwire connectors work

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.

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 Jdbc 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 Jdbc 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
    Jdbc connected
    Shipwire connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jdbc 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 · Jdbc ⇄ 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
    Jdbc Shipwire
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jdbc 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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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 389 integrations available for Jdbc and Shipwire.

Popular · 7 of 389
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