Real-time
Real-time sync
Changes in Amazon Seller Central or Materialize instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Amazon Seller Central to Materialize integration — real-time data sync
Keep Amazon Seller Central and Materialize in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon Seller Central and Materialize
Get the data locked inside Amazon Seller Central into Materialize as live tables, and send results back where Amazon Seller Central can use them, without writing a pipeline.
Amazon Seller Central is a read-only source: Stacksync reads its data in real time and delivers it into Materialize, so Materialize always reflects the current state of Amazon Seller Central — without exports, scripts, or schedulers.
Whatever Amazon Seller Central is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Common use cases
- 01 Land Amazon orders, reports, and settlement data in your warehouse or ERP as they are produced.
- 02 Track price and inventory report changes across marketplaces from one queryable table.
- 03 Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
- 04 Read computed view results back into a CRM or application database as derived fields.
Common sync patterns
History that outlives the tool
A continuously synced copy in Materialize preserves a queryable record even as data ages out of Amazon Seller Central or gets changed inside it.
Analytics on Amazon Seller Central's data
Records and events from Amazon Seller Central land in Materialize as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Cross-tool reporting
Combine Amazon Seller Central's data with data from every other synced system to answer questions no single tool can.
What you can sync between Amazon Seller Central and Materialize
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 Seller Central objects | Materialize objects | How this pairing syncs | |
|---|---|---|---|
| FBA Inventory Fulfillable quantity by SKU, synced out for stock planning and replenishment. | Schemas & Databases Namespaces that organize objects a sync targets. | FBA Inventory is specific to Amazon Seller Central and Schemas & Databases to Materialize — each maps to any object or custom field on the other side. | |
| Shipments Inbound and outbound shipment records used to track fulfillment state. | Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Shipments is specific to Amazon Seller Central and Tables to Materialize — each maps to any object or custom field on the other side. | |
| Financial Events Settlement, fee, and refund events synced to finance systems for reconciliation. | Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Financial Events is specific to Amazon Seller Central and Sources to Materialize — each maps to any object or custom field on the other side. | |
| Returns Return and refund records routed to support and finance workflows. | Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Returns is specific to Amazon Seller Central and Materialized Views to Materialize — each maps to any object or custom field on the other side. | |
| Reports Asynchronous bulk exports used for large reads (orders, inventory, settlements). | Sinks Outbound connections that emit view changes to Kafka topics. | Reports is specific to Amazon Seller Central and Sinks to Materialize — each maps to any object or custom field on the other side. | |
| Feeds Asynchronous bulk write channel for price, inventory, and listing updates. | Indexes In-memory arrangements that make view reads fast for serving workloads. | Feeds is specific to Amazon Seller Central and Indexes to Materialize — each maps to any object or custom field on the other side. |
How changes propagate between Amazon Seller Central and Materialize
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.
Amazon Seller Central Materialize Interval-based propagation
DetectionStacksync polls Amazon Seller Central for changes on an incremental schedule, reading only records changed since the previous pass. Historical and incremental syncs (mechanism not further specified).
DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.
Materialize Amazon Seller Central Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryAmazon Seller Central does not accept inbound record writes, so this direction carries requests rather than records: Amazon Seller Central's output flows back as field updates on the originating Materialize records.
Rate-limit considerations
- Amazon Seller Central: Per-operation token-bucket rate limits; bulk reads and writes should go through the asynchronous Reports and Feeds APIs instead of item-by-item calls.
What ships with Amazon Seller Central ⇄ Materialize
Connect Amazon Seller Central and Materialize for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Seller Central–Materialize connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon Seller Central or Materialize 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 Amazon Seller Central or Materialize record.
Observability
Monitoring
Track your Amazon Seller Central ⇄ Materialize sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon Seller Central and Materialize.
How the Amazon Seller Central and Materialize connectors work
Amazon Seller Central
- Integration surface
- REST API (Selling Partner API, SP-API)
- Authentication
- SP-API app credentials (LWA client ID/secret, application ID, Merchant ID/Seller ID token, refresh token, region) entered into the Stacksync connection form
- Change detection
- Historical and incremental syncs (mechanism not further specified)
- Capabilities
- read
- Rate limits
- Per-operation token-bucket rate limits; bulk reads and writes should go through the asynchronous Reports and Feeds APIs instead of item-by-item calls
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
How it works
How to connect Amazon Seller Central to Materialize — 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.
- 01
Connect your apps
Authenticate Amazon Seller Central and Materialize with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Amazon Seller Central
connected
Materialize
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon Seller Central and Materialize 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.
objects · Amazon Seller Central ⇄ MaterializeCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Amazon Seller Central MaterializeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon Seller Central and Materialize integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Amazon Seller Central and Materialize — Amazon Seller Central is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Amazon Seller Central: REST API (Selling Partner API, SP-API). Authentication: SP-API app credentials (LWA client ID/secret, application ID, Merchant ID/Seller ID token, refresh token, region) entered into the Stacksync connection form. Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). Stacksync manages authentication, retries, and rate limits on both sides.
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Amazon Seller Central: Event notifications are delivered via Amazon SQS or EventBridge, not conventional HTTP webhooks, so consumers need an AWS-side subscription. Materialize: Views are maintained incrementally as data arrives rather than recomputed at query time, which is what makes reads consistently fresh. Stacksync's field mapping accounts for these differences between Amazon Seller Central and Materialize without custom code.
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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 Amazon Seller Central and Materialize records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Seller Central and Materialize connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Seller Central–Materialize integration in-house.
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Yes — Stacksync ships production-grade connectors for both Amazon Seller Central and Materialize. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:
Related integrations
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