Start with one meaningful update
Identify the record that changes in Pigment or Supabase, where it needs to appear, and which team depends on it.
Plan how Pigment and Supabase 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 Pigment and Supabase integration with a Stacksync engineer. Stacksync support for Pigment and Supabase 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 Pigment or Supabase, 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 Pigment and Supabase, 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 |
|---|---|
| Applications | Confirm support for this record type and the direction you need. |
| Metrics | Confirm support for this record type and the direction you need. |
| Dimension lists | Confirm support for this record type and the direction you need. |
| Tables | Confirm support for this record type and the direction you need. |
| Object or data type | Coverage and checks |
|---|---|
| Scenarios | Confirm support for this record type and the direction you need. |
| Data imports | Confirm support for this record type and the direction you need. |
Record types to review with Stacksync
| Object or data type | Coverage and checks |
|---|---|
| Tables | Confirm support for this record type and the direction you need. |
| Views | Confirm support for this record type and the direction you need. |
| Schemas | Confirm support for this record type and the direction you need. |
| auth.users | Confirm support for this record type and the direction you need. |
| Object or data type | Coverage and checks |
|---|---|
| Row Level Security Policies | Confirm support for this record type and the direction you need. |
| JSONB Columns | Confirm support for this record type and the direction you need. |
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 metric or analytical result dataset while preserving its source meaning.
Identify a metric by definition/version, dimensions, time window, and entity key.
The analytical model owns the computation; operational systems should receive only approved outputs with freshness context.
Architecture decision
Choose a method around one example record and the update your business needs. Use Metrics / Proposed metric or analytical result table in Supabase (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 Metrics or Proposed metric or analytical result table in Supabase (choose its name) record needs a defined result in the other system.
Expected result: Compare identical time windows and dimensions; test late-arriving data and a recalculated metric.
If it fails: Recompute the intended window before retrying an output; avoid overwriting a newer result with an older computation.
Starting event: A finance-owned record in Pigment 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.
Production readiness
Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.
Compare identical time windows and dimensions; test late-arriving data and a recalculated metric.
The expected metric or analytical result 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 Pigment Metrics and Supabase Proposed metric or analytical result table in Supabase (choose its name), their IDs, and the destination error.
Recompute the intended window before retrying an output; avoid overwriting a newer result with an older computation.
Check the Pigment and Supabase 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 Supabase.
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 Pigment.
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 Pigment and Supabase planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.
Explore a Pigment and Supabase integration with a Stacksync engineer. Stacksync support for Pigment and Supabase 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 Pigment account, edition, environment, and business objects the integration must access. Identify the Supabase 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 Metrics in Pigment and Proposed metric or analytical result table in Supabase (choose its name) in Supabase. 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 Metrics / Proposed metric or analytical result table in Supabase (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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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 445 integrations listed for Pigment and Supabase.