Two-way sync
Changes in Apache Pinot or Shopware instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot 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.
Apache Pinot 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 Segments, Real-time Tables, Offline Tables, Indexes in Apache Pinot 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.
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 Apache Pinot as they change, so dashboards and models read current data instead of last night's export.
Segments, lifetime value, and scores built in Apache Pinot write onto the matching records in Shopware, so merchandising and messaging act on warehouse logic.
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.
| Apache Pinot objects | Shopware objects | How this pairing syncs | |
|---|---|---|---|
| Tenants Logical groupings that isolate workloads on shared clusters. | Customers Storefront customer accounts (`customer`) with addresses and group; synced two-way with a CRM or support tool. | Tenants is specific to Apache Pinot and Customers to Shopware — each maps to any object or custom field on the other side. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Orders Order headers (`order`) with totals, state, and sales-channel reference; read out to accounting and written back for status updates. | Tables is specific to Apache Pinot and Orders to Shopware — each maps to any object or custom field on the other side. | |
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | Order Line Items Per-order product rows (`order_line_item`); read alongside the order for revenue and fulfillment reporting. | Schemas is specific to Apache Pinot and Order Line Items to Shopware — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Order Deliveries Shipping records (`order_delivery`) carrying delivery state and tracking codes; written back from a 3PL or WMS. | Segments is specific to Apache Pinot and Order Deliveries to Shopware — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Order Transactions Payment records (`order_transaction`) holding payment method and state; read to reconcile against a billing or finance system. | Real-time Tables is specific to Apache Pinot and Order Transactions to Shopware — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Sales Channels Per-storefront configuration (`sales_channel`); used to scope and consolidate orders and customers across multiple storefronts. | Offline Tables is specific to Apache Pinot 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 Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
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 Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Shopware connection.
Changes in Apache Pinot or Shopware instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot 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 Apache Pinot or Shopware record.
Track your Apache Pinot ⇄ Shopware sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot and Shopware: authenticate both systems, choose the objects to sync (such as Apache Pinot's Tenants and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. 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 Apache Pinot side: Segments, Real-time Tables, Offline Tables, Indexes, plus custom fields where Apache Pinot 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 Apache Pinot and Shopware: One customer master; Live analytics on store activity; Where Shopware accepts writes: push computed attributes back. Where both systems keep customer records, corrections in either propagate to the other so analytics and the storefront share one identity.
Apache Pinot: REST API (SQL queries via the broker; administration via the controller); JDBC client available. Authentication: Deployment-dependent: HTTP basic authentication or token-based auth where enabled. Shopware: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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Every pair below is a real-time, two-way sync. Search all 395 integrations available for Apache Pinot and Shopware.