Amazon Seller Central
Read-only connector
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| See connector requirements. Confirm field permissions and sync direction. |
Bring supported Amazon Seller Central data into MariaDB for your team's workflows and reporting. This connector supports updates from Amazon Seller Central to MariaDB.
Example workflow
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting eventA change involving Amazon Seller Central Orders or the proposed sales order table in MariaDB needs a defined result in the other system.
Start with Amazon Seller Central Orders and the proposed sales order table in MariaDB. Use the record-matching and field-ownership rules from your mapping worksheet.
Create or locate the customer and products first; resolve taxes, currency, and fulfillment references.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.
What to verifyTest a multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.
Review records and field ownershipMapping essentials
Match records by stable IDs and assign an owner for each field. The record notes identify the coverage to check.
Download the mapping worksheetCSV · No email required
| Amazon Seller Central record | MariaDB record | Record matching | Field ownership |
|---|---|---|---|
| OrdersProposed record; confirm Stacksync object support.Reporting dataset | Proposed sales order tableProposed table; choose its name and schema. | Preserve both the order ID and stable line IDs. Allow one order to relate to several shipments or invoices. | Decide which system approves the order and which can cancel or amend it after fulfillment begins. |
| Listings / Catalog ItemsProposed record; confirm Stacksync object support.Reporting dataset | Proposed product or catalog item tableProposed table; choose its name and schema. | Distinguish the product ID, variant ID, SKU, and price-list entry; they are not interchangeable keys. | Assign ownership for catalog content, price, and stock separately. |
| FBA InventoryProposed record; confirm Stacksync object support.Reporting dataset | Proposed inventory or stock position tableProposed table; choose its name and schema. | Identify stock by product/variant, location, and any lot or serial dimension; a product ID alone is insufficient. | Choose the stock authority and distinguish available, reserved, and physical quantities. |
Use writable fields from the connected accounts. Read values from read-only fields without writing changes back to them, and define deletion handling separately.
Why teams connect Amazon Seller Central and MariaDB
Start with the work your team needs to complete: keep records up to date, make operational data available for reporting, or move data to a new system. Choose one Amazon Seller Central and MariaDB workflow to test, define what success looks like, and decide who handles failed updates.
Power internal dashboards from MariaDB views over Orders and Shipments.
Audit historical changes to Listings / Catalog Items using system-versioned tables.
Consolidate marketplace and in-house data in one MariaDB database without custom API code.
Start with the records your workflow needs. Check each system’s read and write requirements before mapping fields.
Read-only connector
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| See connector requirements. Confirm field permissions and sync direction. |
Read and write support varies by record
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| See connector requirements. Confirm field permissions and sync direction. |
Review how each system connects, detects changes, and permits access to your records.
View setup requirements and limits| Connection requirement | Amazon Seller Central | MariaDB |
|---|---|---|
| Integration interface | REST API (Selling Partner API, SP-API) | SQL wire protocol (MySQL-compatible client/server protocol) |
| Authentication | SP-API app credentials | Database credentials |
| Change detection | Historical and incremental syncs are documented. | Stacksync creates database triggers for change logging. |
| Read access | Available for supported records | Available for supported records |
| Write access | Not supported by this connector | Available for supported records |
Enterprise controls
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:
Inspect sync errors and use retry and revert controls to resolve failed updates.
Read the recovery guideImplementation
Review setup, record relationships, testing, and recovery for your implementation.
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.
Setup guides: Authorize Amazon Seller Central
Setup guides: Authorize MariaDB
Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.
Use the Amazon Seller Central and MariaDB planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Keep each record tied to its source ID. Use the references below to choose field owners and preserve relationships between records.
Download the mapping worksheet · CSV, no email required
Reporting dataset
Plan a sales order dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Amazon Seller Central: Orders documentation
Reporting dataset
Plan a product or catalog item dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Amazon Seller Central: Listings / Catalog Items documentation
Reporting dataset
Plan a inventory or stock position dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Amazon Seller Central: FBA Inventory documentation
Reporting dataset
Plan a shipment or fulfillment dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Amazon Seller Central: Shipments documentation
Reporting dataset
Plan a event or activity dataset while preserving its source meaning.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Fields to include
References: Amazon Seller Central: Financial Events documentation
Use Amazon Seller Central Orders and MariaDB Proposed sales order table in MariaDB (choose its name) for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected Orders or Proposed sales order table in MariaDB (choose its name) record needs a defined result in the other system.
Expected result: Test a multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.
If it fails: Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected Listings / Catalog Items or Proposed product or catalog item table in MariaDB (choose its name) record needs a defined result in the other system.
Expected result: Test two variants of one product, a changed SKU, and a price that applies to only one market or currency.
If it fails: Repair the variant or price-list reference before retrying affected order lines; preserve existing transaction prices.
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting event: A change to the selected FBA Inventory or Proposed inventory or stock position table in MariaDB (choose its name) record needs a defined result in the other system.
Expected result: Test the same SKU in two locations, a reservation, and an older snapshot arriving late.
If it fails: Reconcile the latest stock position before retrying; do not apply an old absolute quantity after new movements.
Validate the selected objects and operations even where connector-level direction is documented.
Starting event: A catalog, order, or fulfillment change in Amazon Seller Central matters to a selected destination dataset.
Expected result: A split fulfillment and repeated request preserve line quantities without duplicate orders or shipments.
If it fails: Look up existing downstream records before retrying creation; reconcile current order and fulfillment states.
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
Test a multi-line order, a partial cancellation, and two partial shipments. Compare line totals as well as the header.
The expected sales order relationship is preserved with no duplicate action or unintended write.
Test two variants of one product, a changed SKU, and a price that applies to only one market or currency.
The expected product or catalog item relationship is preserved with no duplicate action or unintended write.
Test the same SKU in two locations, a reservation, and an older snapshot arriving late.
The expected inventory or stock position relationship is preserved with no duplicate action or unintended write.
Test split shipments, multiple tracking references, partial returns, and a carrier status arriving out of order.
The expected shipment or fulfillment relationship is preserved with no duplicate action or unintended write.
Verify read access in Amazon Seller Central and write access in MariaDB. Test the permitted route without relying on a return sync.
Only an approved, supported direction and permitted fields are written.
Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.
The process meets its agreed freshness target and reconciliation has no unexplained differences.
Start with the failed record and the destination error, then inspect the source value, field requirements, and access.
Inspect Amazon Seller Central Orders and MariaDB Proposed sales order table in MariaDB (choose its name), their IDs, and the destination error.
Check for an existing destination order before retrying a timed-out create; reconcile line IDs to avoid duplicate fulfillment.
Inspect Amazon Seller Central Listings / Catalog Items and MariaDB Proposed product or catalog item table in MariaDB (choose its name), their IDs, and the destination error.
Repair the variant or price-list reference before retrying affected order lines; preserve existing transaction prices.
Inspect Amazon Seller Central FBA Inventory and MariaDB Proposed inventory or stock position table in MariaDB (choose its name), their IDs, and the destination error.
Reconcile the latest stock position before retrying; do not apply an old absolute quantity after new movements.
Check the Amazon Seller Central and MariaDB connector guides, account permissions, and any operations marked On Request.
Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.
Compare current source values, destination validation, identity mappings, and any side effects already completed.
Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.
Read the Stacksync issues dashboard guide for retry and revert behavior.
See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.
Detect changesHistorical and incremental syncs are documented. The guide does not specify a universal detection interval.
Apply updatesSelected writable fields update in MariaDB. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.
Detect changesThis route requires read access from MariaDB and write access to Amazon Seller Central; the documented connector restrictions do not permit it.
Apply updatesUse a supported direction or review a separate integration method for this requirement.
The documented direction is Amazon Seller Central to MariaDB for supported objects. Amazon Seller Central is documented as a read-only connector, so it cannot receive write-back through this connector. Authorize both systems, map the selected fields, and validate the first load and later changes.
Amazon Seller Central is read-only through Stacksync. Two-way sync is not supported through these connectors; use a supported direction or review another implementation.
Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Supply SP-API authorization credentials, merchant identification, region, and refresh token using the connector authorization guide. Use one auto-generated primary key per selected table and grant the connected user the required table permissions. Use the pair worksheet to record ownership and acceptance criteria.
Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.
Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.
Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.
Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.
Start by reviewing Orders in Amazon Seller Central and Proposed sales order table in MariaDB (choose its name) in MariaDB. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.
Use Amazon Seller Central Orders and MariaDB Proposed sales order table in MariaDB (choose its name) for the first pilot. Verify its identity and permitted direction, then add dependent records only when the acceptance checks pass.
Next step
Walk through your Amazon Seller Central and MariaDB records, field mappings, and requirements with an integration engineer.