Shipwire
Connection and object support require review
Record types to review with Stacksync
| Record types | Coverage and requirements |
|---|---|
| Confirm support for this record type and the direction you need. |
Plan how Shipwire and SQL Server should share data across your business. Work with Stacksync engineers on record mapping, system access, and the requirements for running the integration.
Proposed workflow
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting eventA change involving Shipwire Orders or the proposed sales order table in SQL Server needs a defined result in the other system.
Start with Shipwire Orders and the proposed sales order table in SQL Server. 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 ownershipProposed record relationships
Use these examples to define record matching and field ownership for your technical review.
Download the mapping worksheetCSV · No email required
| Shipwire record | SQL Server 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. |
| ProductsProposed 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. |
| StockProposed 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. |
These relationships do not establish connector availability. Review the required connection and record operations with Stacksync.
Use documented coverage where available. Catalog record types are starting points for review and do not confirm Stacksync support.
Connection and object support require review
Record types to review with Stacksync
| Record types | Coverage and requirements |
|---|---|
| Confirm support for this record type and the direction you need. |
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. |
Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.
View setup requirements and limits| Connection requirement | Shipwire | SQL Server |
|---|---|---|
| Integration interface | REST API (v3) | SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers |
| Authentication | Confirm the credentials, API plan, and permissions required for Shipwire. | Database credentials entered as a connection string or as parameters |
| Change detection | Confirm how Stacksync detects changes for this connector and the objects you need. | Native SQL Server CDC captures changes after an administrator enables CDC and creates the Stacksync wrapper procedures. |
| Read access | Confirm with Stacksync | Available for supported records |
| Write access | Confirm with Stacksync | 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.
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 SQL Server
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 Shipwire and SQL Server planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Use these data-model references to describe the records your connection needs. They are planning examples; connector availability and supported operations must be established before implementation.
Download the mapping worksheet · CSV, no email required
Reporting dataset
Plan a sales order dataset while preserving its source meaning.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Fields to include
Reporting dataset
Plan a product or catalog item dataset while preserving its source meaning.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Fields to include
Reporting dataset
Plan a inventory or stock position dataset while preserving its source meaning.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Fields to include
Reporting dataset
Plan a purchase order dataset while preserving its source meaning.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Fields to include
Choose a method around one example record and the update your business needs. Use Orders / Proposed sales order table in SQL Server (choose its name) to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting event: A change to the selected Orders or Proposed sales order table in SQL Server (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.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting event: A change to the selected Products or Proposed product or catalog item table in SQL Server (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.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting event: A change to the selected Stock or Proposed inventory or stock position table in SQL Server (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.
This is an evaluation scenario; connector and operation support require confirmation.
Starting event: A catalog, order, or fulfillment change in Shipwire 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 a partially received purchase order and an amendment after approval.
The expected purchase order relationship is preserved with no duplicate action or unintended write.
Bring an example source record and the intended destination operation to the compatibility review. Confirm the supported route before granting write access.
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 Shipwire Orders and SQL Server Proposed sales order table in SQL Server (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 Shipwire Products and SQL Server Proposed product or catalog item table in SQL Server (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 Shipwire Stock and SQL Server Proposed inventory or stock position table in SQL Server (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 Shipwire and SQL Server 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 changesConfirm how Stacksync detects changes for this connector and the objects you need.
Apply updatesConfirm that Stacksync can create or update the records you need in SQL Server.
Detect changesNative SQL Server CDC captures changes after an administrator enables CDC and creates the Stacksync wrapper procedures.
Apply updatesConfirm that Stacksync can create or update the records you need in Shipwire.
Explore a Shipwire and SQL Server integration with a Stacksync engineer. Stacksync support for Shipwire is not established by the connector documentation reviewed for this page. Start with one record and the update your business needs to identify an implementation path.
Confirm two-way support with Stacksync for the records and fields you need in both systems. Access to a vendor API does not confirm that its Stacksync connector supports write-back.
Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Identify the Shipwire account, edition, environment, and business objects the integration must access. Use a single generated primary key per table and grant the Stacksync user the required table access. 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 Shipwire and Proposed sales order table in SQL Server (choose its name) in SQL Server. 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.
Choose a method around one example record and the update your business needs. Use Orders / Proposed sales order table in SQL Server (choose its name) to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.
Next step
Walk through your Shipwire and SQL Server records, field mappings, and requirements with an integration engineer.