MotherDuck
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. |
Bring supported SendGrid data into MotherDuck for your team's workflows and reporting. This connector supports updates from SendGrid to MotherDuck.
Example workflow
Object-specific availability and field permissions determine this mapping. Use the restrictions shown for each record type.
Starting eventA change involving the proposed contact table in MotherDuck or SendGrid Contacts needs a defined result in the other system.
Start with the proposed contact table in MotherDuck and SendGrid Contacts. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve the organization relationship and any owner or consent references required by the destination.
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 an email change, two records sharing an email, and a person associated with multiple organizations.
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
| MotherDuck record | SendGrid record | Record matching | Field ownership |
|---|---|---|---|
| Proposed contact tableProposed table; choose its name and schema.Reporting dataset | ContactsDocumented record: Read: Supported. Write: Not available (read-only connector). | 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. |
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 MotherDuck and SendGrid
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 MotherDuck and SendGrid workflow to test, define what success looks like, and decide who handles failed updates.
Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
Sync modeled MotherDuck tables outward to operational tools for activation
Sync CRM contacts and their custom fields into SendGrid lists so campaign targeting reflects live sales data
Write bounces, spam reports, and unsubscribes back to the CRM to keep email opt-in status accurate everywhere
Start with the records your workflow needs. Check each system’s read and write requirements before mapping fields.
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. |
Read-only connector
Record types covered in the setup guide
| Record types | Coverage and requirements |
|---|---|
| Reading: ✅ Supported. Updating this object: Not available (read-only connector). |
Review how each system connects, detects changes, and permits access to your records.
View setup requirements and limits| Connection requirement | MotherDuck | SendGrid |
|---|---|---|
| Integration interface | SQL through DuckDB clients and drivers using a MotherDuck (md:) connection | REST API (v3) |
| Authentication | Access token created in MotherDuck | API key |
| Change detection | The saved Stacksync guide does not specify the change-detection mechanism. | The saved Stacksync guide does not specify the change-detection mechanism. |
| Read access | Available for supported records | Available for supported records |
| Write access | Available for supported records | Not supported by this connector |
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 SendGrid
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 MotherDuck and SendGrid 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 contact 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: SendGrid: Contacts documentation
Use MotherDuck Proposed contact table in MotherDuck (choose its name) and SendGrid Contacts 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 Proposed contact table in MotherDuck (choose its name) or Contacts 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.
Validate the selected objects and operations even where connector-level direction is documented.
Starting event: A communication in SendGrid needs an association with a selected destination dataset in MotherDuck.
Expected result: Repeated delivery updates the same history record; a private conversation stays private; a history replay sends no new message.
If it fails: Check source delivery state and the destination relationship before retrying. Do not resend to repair an analytical or history discrepancy.
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
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.
Verify read access in SendGrid and write access in MotherDuck. 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 MotherDuck Proposed contact table in MotherDuck (choose its name) and SendGrid Contacts, 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 MotherDuck and SendGrid 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 changesThis route requires read access from MotherDuck and write access to SendGrid; the documented connector restrictions do not permit it.
Apply updatesUse a supported direction or review a separate integration method for this requirement.
Detect changesThe saved Stacksync guide does not specify the change-detection mechanism. Confirm it for the selected objects.
Apply updatesSelected writable fields update in MotherDuck. Its permissions and validation rules still apply; rejected records can be inspected in the Issues dashboard.
The documented direction is SendGrid to MotherDuck for supported objects. SendGrid 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.
SendGrid 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. Generate a MotherDuck access token in Settings > General and enter it in the Stacksync connection form. Create a SendGrid API key with the access levels needed for the selected resources. 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 Proposed contact table in MotherDuck (choose its name) in MotherDuck and Contacts in SendGrid. 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 MotherDuck Proposed contact table in MotherDuck (choose its name) and SendGrid Contacts 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 MotherDuck and SendGrid records, field mappings, and requirements with an integration engineer.