Two-way sync
Changes in ClickHouse or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep ClickHouse 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.
ClickHouse 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 Dictionaries, Tables (MergeTree family), Databases, Views in ClickHouse with Products, Categories, Customers, Orders 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.
Stock levels and order or fulfillment status move between ClickHouse and Shopware so counts and states agree across reporting and operations.
Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
Orders, products, and customer records from Shopware land in ClickHouse as they change, so dashboards and models read current data instead of last night's export.
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.
| ClickHouse objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | Order Line Items Per-order product rows (`order_line_item`); read alongside the order for revenue and fulfillment reporting. | Materialized views is specific to ClickHouse and Order Line Items to Shopware — each maps to any object or custom field on the other side. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. | Distributed tables is specific to ClickHouse and Order Deliveries to Shopware — each maps to any object or custom field on the other side. | |
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | Dictionaries is specific to ClickHouse and Order Transactions to Shopware — each maps to any object or custom field on the other side. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. | Tables (MergeTree family) is specific to ClickHouse and Sales Channels to Shopware — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | Media Media assets (`media`) such as product images; referenced by id so file URLs and metadata sync into downstream catalogs. | Databases is specific to ClickHouse and Media to Shopware — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | 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. | Views is specific to ClickHouse and Products 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 ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
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 ClickHouse as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Shopware connection.
Changes in ClickHouse or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever ClickHouse 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 ClickHouse or Shopware record.
Track your ClickHouse ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between ClickHouse 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 ClickHouse 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 ClickHouse 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 ClickHouse and Shopware: authenticate both systems, choose the objects to sync (such as ClickHouse's Materialized views and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both ClickHouse and Shopware. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. 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.
On the ClickHouse side: Dictionaries, Tables (MergeTree family), Databases, Views, plus custom fields where ClickHouse exposes them. On the Shopware side: Products, Categories, Customers, Orders. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for ClickHouse and Shopware: Inventory and order status reconciled; One customer master; Live analytics on store activity. Stock levels and order or fulfillment status move between ClickHouse and Shopware so counts and states agree across reporting and operations.
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 498 integrations available for ClickHouse and Shopware.