Brightpearl
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 Brightpearl and VoltDB 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 Brightpearl Sales orders or the proposed sales order table in VoltDB needs a defined result in the other system.
Start with Brightpearl Sales orders and the proposed sales order table in VoltDB. 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
| Brightpearl record | VoltDB record | Record matching | Field ownership |
|---|---|---|---|
| Sales 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. |
| Invoices and paymentsProposed record; confirm Stacksync object support.Reporting dataset | Proposed payment or settlement tableProposed table; choose its name and schema. | Preserve transaction ID, provider/source, currency, and links to invoices; one payment may settle several documents. | Keep payment authorization, settlement, and accounting allocation distinct. |
| ContactsProposed record; confirm Stacksync object support.Reporting dataset | Proposed contact tableProposed table; choose its name and schema. | Use a stable person/contact ID and an explicit cross-system lookup. Email can change and can be shared, so treat it as a matching clue rather than a universal key. | Keep consent and communication preferences under an agreed authority; a general contact update must not silently resubscribe someone. |
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. |
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. |
Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.
View setup requirements and limits| Connection requirement | Brightpearl | VoltDB |
|---|---|---|
| Integration interface | REST API, organized into services (order, product, contact, warehouse, accounting) | SQL over JDBC plus native client libraries and an HTTP/JSON interface |
| Authentication | Confirm the credentials, API plan, and permissions required for Brightpearl. | Confirm the credentials, API plan, and permissions required for VoltDB. |
| Change detection | Confirm how Stacksync detects changes for this connector and the objects you need. | Confirm how Stacksync detects changes for this connector and the objects you need. |
| Read access | Confirm with Stacksync | Confirm with Stacksync |
| Write access | Confirm with Stacksync | Confirm with Stacksync |
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.
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.
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 Brightpearl and VoltDB 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 payment or settlement 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 contact 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 Sales orders / Proposed sales order table in VoltDB (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 Sales orders or Proposed sales order table in VoltDB (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 Invoices and payments or Proposed payment or settlement table in VoltDB (choose its name) record needs a defined result in the other system.
Expected result: Test partial payment, one-to-many allocation, refund, and repeated delivery of the same transaction.
If it fails: Look up the original transaction before retrying to prevent duplicate allocation or charging.
Planning example. Stacksync support for the required connection and record operations needs a technical review.
Starting event: A change to the selected Contacts or Proposed contact table in VoltDB (choose its name) record needs a defined result in the other system.
Expected result: Test an email change, two records sharing an email, and a person associated with multiple organizations.
If it fails: Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.
This is an evaluation scenario; connector and operation support require confirmation.
Starting event: A finance-owned record in Brightpearl needs operational visibility through a selected destination dataset.
Expected result: Totals reconcile within the same entity/currency/window; a repeated handoff creates no duplicate financial transaction.
If it fails: Verify posting and settlement state before retrying. Use the approved adjustment path for already-posted transactions.
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 partial payment, one-to-many allocation, refund, and repeated delivery of the same transaction.
The expected payment or settlement relationship is preserved with no duplicate action or unintended write.
Test an email change, two records sharing an email, and a person associated with multiple organizations.
The expected contact 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.
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 Brightpearl Sales orders and VoltDB Proposed sales order table in VoltDB (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 Brightpearl Invoices and payments and VoltDB Proposed payment or settlement table in VoltDB (choose its name), their IDs, and the destination error.
Look up the original transaction before retrying to prevent duplicate allocation or charging.
Inspect Brightpearl Contacts and VoltDB Proposed contact table in VoltDB (choose its name), their IDs, and the destination error.
Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.
Check the Brightpearl and VoltDB 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 VoltDB.
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 Brightpearl.
Explore a Brightpearl and VoltDB integration with a Stacksync engineer. Stacksync support for Brightpearl and VoltDB 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 Brightpearl account, edition, environment, and business objects the integration must access. Identify the VoltDB account, edition, environment, and business objects the integration must 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 Sales orders in Brightpearl and Proposed sales order table in VoltDB (choose its name) in VoltDB. 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 Sales orders / Proposed sales order table in VoltDB (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 Brightpearl and VoltDB records, field mappings, and requirements with an integration engineer.