Two-way sync
Changes in Amazon Redshift or Magento instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Magento in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Amazon Redshift is the analytical store where the business joins, models, and reports on its data; Magento 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 Schemas, Tables, Views, Materialized Views in Amazon Redshift with Invoices, Shipments, Carts / quotes, Products in Magento 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.
Orders, products, and customer records from Magento land in Amazon Redshift as they change, so dashboards and models read current data instead of last night's export.
Segments, lifetime value, and scores built in Amazon Redshift write onto the matching records in Magento, so merchandising and messaging act on warehouse logic.
Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.
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.
| Amazon Redshift objects | Magento objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed results that downstream syncs can read for performance. | Customers Customer accounts and address book; synced two-way with a CRM so order history and contact records stay consistent. | Materialized Views is specific to Amazon Redshift and Customers to Magento — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Inventory source items (MSI) Per-source stock quantities under Multi-Source Inventory; written from a WMS/ERP so storefront stock matches the warehouse. | External Tables (Spectrum) is specific to Amazon Redshift and Inventory source items (MSI) to Magento — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Invoices Invoice documents tied to orders; read out for finance and revenue recognition, or created via the sales API when billing downstream. | Stored Procedures is specific to Amazon Redshift and Invoices to Magento — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Shipments Shipment and tracking records against orders; created or read to drive fulfillment status between Magento and a 3PL/WMS. | Users and Groups is specific to Amazon Redshift and Shipments to Magento — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Carts / quotes Active and guest carts (quotes) with items and totals; read for abandoned-cart analysis (not available on the Cloud Service subset). | Databases is specific to Amazon Redshift and Carts / quotes to Magento — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables and control grants. | Products Catalog items keyed by SKU; carry created_at/updated_at for incremental polling and are written two-way from a PIM or ERP into the storefront. | Schemas is specific to Amazon Redshift and Products to Magento — 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 Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
DeliveryEach detected change is written to Magento through its API, with automatic retries and rate-limit backoff.
DetectionMagento notifies Stacksync of record changes through webhook events. Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at).
DeliveryEach detected change is applied to Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Magento connection.
Changes in Amazon Redshift or Magento instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Magento data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Redshift or Magento record.
Track your Amazon Redshift ⇄ Magento sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Magento.
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 Amazon Redshift and Magento 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 Amazon Redshift and Magento 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 Amazon Redshift and Magento: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Materialized Views and External Tables (Spectrum)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. On Magento: Polling with searchCriteria filters on updated_at (catalog, sales, and customer entities carry created_at/updated_at); optional near-real-time via the Adobe Commerce Webhooks / Adobe I/O Events modules (order/created, product/updated, customer/created). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Redshift side: Schemas, Tables, Views, Materialized Views, plus custom fields where Amazon Redshift exposes them. On the Magento side: Invoices, Shipments, Carts / quotes, Products. 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 Amazon Redshift and Magento: Live analytics on store activity; Where Magento accepts writes: push computed attributes back; One product catalog. Orders, products, and customer records from Magento land in Amazon Redshift as they change, so dashboards and models read current data instead of last night's export.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Magento: REST and GraphQL Web APIs (SOAP also available). Authentication: Token-based OAuth: an integration's access token (consumer key/secret + access token/secret) or a Bearer admin token (default 4-hour expiry); Adobe Commerce as a Cloud Service authenticates via Adobe IMS (OAuth 2). 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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 500 integrations available for Amazon Redshift and Magento.