Two-way sync
Changes in Redis Enterprise or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep Redis Enterprise and Shopware in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Customers, Orders, Order Line Items, Order Deliveries from Shopware into Redis Enterprise and keeps both sides consistent in real time. Whatever Shopware holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Redis Enterprise, such as new prices, stock levels, or fulfillment status, sync back into Shopware 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.
Orders and their status become rows in Redis Enterprise for routing, fulfillment, and reporting, without polling the platform.
Choose exactly which tables and fields may flow from Redis Enterprise back into Shopware, keeping the store authoritative on what it owns.
Records from Shopware, whether products, orders, customers, or inventory, live in Redis Enterprise as ordinary tables or collections, joinable with the rest of your data.
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.
| Redis Enterprise objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Lists Ordered sequences often used as lightweight queues fed by sync events. | Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. | Lists is specific to Redis Enterprise and Customers to Shopware — each maps to any object or custom field on the other side. | |
| Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Orders Order headers (`order`) with totals, state, and sales-channel reference; read out to accounting and written back for status updates. | Streams is specific to Redis Enterprise and Orders to Shopware — each maps to any object or custom field on the other side. | |
| Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Order Line Items Per-order product rows (`order_line_item`); read alongside the order for revenue and fulfillment reporting. | Pub/Sub channels is specific to Redis Enterprise and Order Line Items to Shopware — each maps to any object or custom field on the other side. | |
| Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. | Search indexes is specific to Redis Enterprise and Order Deliveries to Shopware — each maps to any object or custom field on the other side. | |
| Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | Keys (Strings) is specific to Redis Enterprise and Order Transactions to Shopware — each maps to any object or custom field on the other side. | |
| Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. | Hashes is specific to Redis Enterprise and Sales Channels to Shopware — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
DeliveryEach detected change is written to Shopware through its API, with automatic retries and rate-limit backoff.
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 Redis Enterprise as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–Shopware connection.
Changes in Redis Enterprise or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Redis Enterprise or Shopware data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Redis Enterprise or Shopware record.
Track your Redis Enterprise ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and Shopware.
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.
Authenticate Redis Enterprise and Shopware with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Redis Enterprise and Shopware 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Redis Enterprise and Shopware: authenticate both systems, choose the objects to sync (such as Redis Enterprise's Lists and Streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
Redis Enterprise: Redis Enterprise adds clustering, tiered storage, and Active-Active geo-replication (CRDT-based) on top of open-source Redis. Shopware: Admin API access tokens from the client-credentials grant are valid for only 10 minutes (expires_in 600), so long-running syncs refresh tokens frequently. Stacksync's field mapping accounts for these differences between Redis Enterprise and Shopware without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Redis Enterprise and Shopware records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Redis Enterprise and Shopware connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Redis Enterprise–Shopware integration in-house.
Yes — Stacksync ships production-grade connectors for both Redis Enterprise and Shopware. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. On Shopware: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 392 integrations available for Redis Enterprise and Shopware.