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E-commerce ⇄ Data warehouse

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

Keep Shipwire and Snowflake 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 Shipwire and Snowflake

Make Snowflake the analytics and enrichment layer behind Shipwire: orders, products, and customers stay current in both directions.

Snowflake is the analytical store where the business joins, models, and reports on its data; Shipwire runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.

Stacksync syncs Tasks, VARIANT Columns, Virtual Warehouses, Databases in Snowflake with Returns, Purchase Orders, Trackings, Rates in Shipwire field by field, in real time, and in both directions. Transactional records land in the warehouse as they change, computed attributes and cleaned catalog data flow back to the store, and you decide which system owns which fields so Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Push product usage aggregates from Snowflake into sales and success tools for account prioritization
  • 02 Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
  • 03 Push Products, kits, and their dimensions and pricing from a PIM or ERP into the Shipwire catalog and keep SKUs aligned.
  • 04 Read Stock levels per warehouse into an operational database or storefront so availability and backorder state reflect real inventory.

Common sync patterns

Live analytics on store activity

Orders, products, and customer records from Shipwire land in Snowflake as they change, so dashboards and models read current data instead of last night's export.

Where Shipwire accepts writes: push computed attributes back

Segments, lifetime value, and scores built in Snowflake write onto the matching records in Shipwire, so merchandising and messaging act on warehouse logic.

One product catalog

Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.

What you can sync between Shipwire and Snowflake

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.

Shipwire objects Snowflake objects How this pairing syncs
Purchase Orders B2B orders with retailer-specific routing and compliance fields; managed via API alongside receivings for wholesale and marketplace fulfillment. Tables The main landing and activation target for synced records. Purchase Orders is specific to Shipwire and Tables to Snowflake — each maps to any object or custom field on the other side.
Trackings Shipment tracking numbers and carrier status returned as an Order subresource and surfaced through tracking.created, tracking.updated, and tracking.delivered webhook topics. Views Modeled projections used as the source side of outbound syncs. Trackings is specific to Shipwire and Views to Snowflake — each maps to any object or custom field on the other side.
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. Materialized Views Precomputed results synced outward for low-latency reads. Rates is specific to Shipwire and Materialized Views to Snowflake — each maps to any object or custom field on the other side.
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. Streams Row-level change records on a table, consumed to process deltas instead of full scans. Orders is specific to Shipwire and Streams to Snowflake — each maps to any object or custom field on the other side.
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. Stages File staging areas used for bulk loads into synced tables. Products is specific to Shipwire and Stages to Snowflake — each maps to any object or custom field on the other side.
Stock Real-time per-warehouse inventory levels; read-only, pulled into a database or storefront so availability reflects on-hand and backordered quantities. Tasks Scheduled SQL used to transform synced data after it lands. Stock is specific to Shipwire and Tasks to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Shipwire and Snowflake

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.

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

Snowflake Shipwire Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

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

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.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Shipwire ⇄ Snowflake

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Shipwire or Snowflake 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 Shipwire or Snowflake record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Shipwire and Snowflake connectors work

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.

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

How to connect Shipwire to Snowflake — 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 Shipwire and Snowflake 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
    Shipwire connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Shipwire and Snowflake 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
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:

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 505 integrations available for Shipwire and Snowflake.

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