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E-commerce ⇄ Data warehouse

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

Keep Shopware 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 Shopware and Snowflake

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

Snowflake is the analytical store where the business joins, models, and reports on its data; Shopware 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 Views, Materialized Views, Streams, Stages in Snowflake with Order Transactions, Sales Channels, Media, Products in Shopware 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 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
  • 02 Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
  • 03 Write tracking numbers and delivery state onto `order_delivery` from a 3PL or WMS so storefront order status reflects fulfillment.
  • 04 Consolidate orders and customers from multiple `sales_channel` storefronts into one Postgres database for cross-channel analysis.

Common sync patterns

Inventory and order status reconciled

Stock levels and order or fulfillment status move between Snowflake and Shopware so counts and states agree across reporting and operations.

One customer master

Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.

Live analytics on store activity

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

What you can sync between Shopware 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.

Shopware objects Snowflake objects How this pairing syncs
Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. Virtual Warehouses The compute a sync's queries run on, sized independently of storage. Order Transactions is specific to Shopware and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side.
Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. Databases Top-level containers that scope which data a sync can touch. Sales Channels is specific to Shopware and Databases to Snowflake — each maps to any object or custom field on the other side.
Media Media assets (`media`) such as product images; referenced by id so file URLs and metadata sync into downstream catalogs. Schemas Namespaces within a database used to organize synced tables. Media is specific to Shopware and Schemas to Snowflake — each maps to any object or custom field on the other side.
Products The product catalog (`product`), including parent/child variants, per-currency nested price arrays, and stock; synced two-way with ERP, PIM, or a database. Tables The main landing and activation target for synced records. Products is specific to Shopware and Tables to Snowflake — each maps to any object or custom field on the other side.
Categories The navigation and catalogue tree (`category`); mapped to product taxonomy in a warehouse or written from a PIM. Views Modeled projections used as the source side of outbound syncs. Categories is specific to Shopware and Views to Snowflake — each maps to any object or custom field on the other side.
Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. Materialized Views Precomputed results synced outward for low-latency reads. Customers is specific to Shopware and Materialized Views to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Shopware 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.

Shopware Snowflake Sub-second propagation

DetectionShopware notifies Stacksync of record changes through webhook events. App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field.

DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.

Snowflake Shopware 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 Shopware through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Shopware: No general throttle on Admin API entity endpoints; Shopware's RateLimiter guards only specific routes (login, oauth, password reset, guest order/contact) and is configurable on self-hosted stores.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Shopware ⇄ Snowflake

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Shopware 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 Shopware or Snowflake record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Shopware and Snowflake connectors work

Shopware

Integration surface
Admin API (REST / JSON:API) with a bulk POST /api/_action/sync endpoint
Authentication
OAuth 2.0 — client-credentials grant using an Integration's Access Key ID + Secret Access Key, or resource-owner password grant for a user; access tokens expire after 10 minutes
Change detection
App-system webhooks on entity events (product.written, order.written, customer.written) deliver the changed record's primaryKey and updated field names; otherwise poll on the updatedAt / createdAt fields
Capabilities
read · write · webhooks
Rate limits
No general throttle on Admin API entity endpoints; Shopware's RateLimiter guards only specific routes (login, oauth, password reset, guest order/contact) and is configurable on self-hosted stores

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 Shopware 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 Shopware 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
    Shopware connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Shopware 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 Shopware and Snowflake.

Popular · 8 of 505
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