Start with one meaningful update
Identify the record that changes in Gorgias or SQL Server, where it needs to appear, and which team depends on it.
Plan how Gorgias 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.
Your integration scope
Bring the source, destination, and record types. A Stacksync engineer will help establish the available implementation path.
Review the integration scopeBuild the right connection
Explore a Gorgias and SQL Server integration with a Stacksync engineer. Stacksync support for Gorgias 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.
Identify the record that changes in Gorgias or SQL Server, where it needs to appear, and which team depends on it.
Bring the objects, account editions, and required directions. An engineer can review the connector path, permissions, and field access.
Agree on record matching, acceptable delay, expected volume, and how your team will resolve failed updates.
Compare the record types in Gorgias and SQL Server, then choose the ones your workflow needs. Check each record's read and write support before mapping fields between systems.
Record types to review with Stacksync
| Object or data type | Coverage and checks |
|---|---|
| Tickets | Confirm support for this record type and the direction you need. |
| Messages | Confirm support for this record type and the direction you need. |
| Customers | Confirm support for this record type and the direction you need. |
| Users (agents) | Confirm support for this record type and the direction you need. |
| Object or data type | Coverage and checks |
|---|---|
| Tags | Confirm support for this record type and the direction you need. |
| Satisfaction surveys | Confirm support for this record type and the direction you need. |
Record types covered in the setup guide
| Object or data type | Coverage and checks |
|---|---|
| Tables | See connector requirements. Confirm field permissions and sync direction. |
Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.
Use the worksheets and reference checks to capture record identity, ownership, and the result your business expects.
Implementation reference
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 worksheetCSV · No email required · Record matching, ownership, and test cases
Plan a customer dataset while preserving its source meaning.
Determine whether each customer represents an individual, a company, or a business-unit relationship before matching it to a contact or organization. Retain the source customer ID and destination ID; names and email alone are insufficient.
Separate the customer relationship from contact details, billing authority, and consent. Choose an owner for each field after identifying whether the customer is a person or company.
Plan a support case or ticket dataset while preserving its source meaning.
Retain the ticket ID and distinguish parent tickets, follow-ups, and merged cases.
Agree which queue controls status and assignee; keep private comments distinct from public replies.
Plan a application user or identity dataset while preserving its source meaning.
Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact.
Identity and application owners approve account lifecycle and access changes; synchronize only approved attributes.
Plan a message or conversation dataset while preserving its source meaning.
Retain message ID, conversation/thread ID, channel, and sender identity.
Separate message history from actions that send new messages; preserve private/public visibility and channel consent.
Plan a event or activity dataset while preserving its source meaning.
Keep the source event ID, source system, occurrence time, and ingestion time. Use an explicit duplicate-detection key.
Decide whether the destination stores an immutable history or only a current-state summary.
Architecture decision
Choose a method around one example record and the update your business needs. Use Customers / Proposed customer 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.
Workflow reference
Open a workflow to see its trigger, record relationships, and expected result.
Starting event: A change to the selected Customers or Proposed customer table in SQL Server (choose its name) record needs a defined result in the other system.
Expected result: Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.
If it fails: Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.
Starting event: A change to the selected Tickets or Proposed support case or ticket table in SQL Server (choose its name) record needs a defined result in the other system.
Expected result: Test a merged ticket, a private note, a reopened case, and an attachment with restricted access.
If it fails: Check whether a reply or notification was already sent before replaying ticket actions.
Starting event: A change to the selected Users (agents) or Proposed application user or identity table in SQL Server (choose its name) record needs a defined result in the other system.
Expected result: Test a renamed login, disabled account, missing group, and a user existing in two tenants.
If it fails: Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.
Starting event: A customer-facing change in Gorgias needs operational context in SQL Server.
Expected result: The relationship survives a lifecycle change without creating a duplicate customer or triggering an unintended business action.
If it fails: Inspect merge/conversion history and existing destination records before replaying a lifecycle transition.
Production readiness
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
Test an individual buyer, a company buyer, and one company with multiple billing relationships. Do not merge these into a single generic contact.
The expected customer relationship is preserved with no duplicate action or unintended write.
Test a merged ticket, a private note, a reopened case, and an attachment with restricted access.
The expected support case or ticket relationship is preserved with no duplicate action or unintended write.
Test a renamed login, disabled account, missing group, and a user existing in two tenants.
The expected application user or identity relationship is preserved with no duplicate action or unintended write.
Test a delivery-state change, repeated message, private conversation, and reply linked to the correct thread.
The expected message or conversation 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.
Failure recovery
Start with the failed record and the destination error, then inspect the source value, field requirements, and access.
Inspect Gorgias Customers and SQL Server Proposed customer table in SQL Server (choose its name), their IDs, and the destination error.
Hold ambiguous customer matches for review and resolve customer type before retrying dependent records.
Inspect Gorgias Tickets and SQL Server Proposed support case or ticket table in SQL Server (choose its name), their IDs, and the destination error.
Check whether a reply or notification was already sent before replaying ticket actions.
Inspect Gorgias Users (agents) and SQL Server Proposed application user or identity table in SQL Server (choose its name), their IDs, and the destination error.
Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.
Check the Gorgias 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 Gorgias.
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 Gorgias and SQL Server planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Explore a Gorgias and SQL Server integration with a Stacksync engineer. Stacksync support for Gorgias 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 Gorgias 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 Customers in Gorgias and Proposed customer 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 Customers / Proposed customer 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.
Explore another route involving one of these systems.
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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.
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Review documented support, sync direction, and setup requirements on each pair page. Search all 542 integrations listed for Gorgias and SQL Server.