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Database · Two-way sync platform

Supabase connector for two-way sync.

Keep Supabase and your business systems aligned with Stacksync. Sync Tables within the connector’s object and field requirements, with two-way sync for eligible records.

Set this up from Claude or ChatGPT
  • Configure field mappings and sync direction
  • Inspect and resolve record errors in one dashboard

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Record types

Supabase objects and coverage.

Start with the records your workflow needs. Object-specific permissions and operation limits are shown alongside the available coverage.

Tables
Check object and field eligibility in the setup guide.

Read the Supabase object and setup guide

Connection setup

Supabase connection requirements.

Check the account access and change-detection requirements for your environment. Your system administrator can help confirm permissions before the first sync.

Connection method
PostgreSQL connection through the Supabase IPv4-compatible Transaction Pooler
Account access
Postgres database credentials entered in the secure Stacksync connection form; use the Supabase IPv4-compatible Transaction Pooler connection string.
How changes are detected
Postgres connector requirements apply. If logical replication permissions are unavailable, the documented Postgres Heroku connector provides a trigger-based alternative, including for non-Heroku databases.

Sync directions

  • Read data Documented
  • Write data Documented
SupabaseStacksync setup guide
Setup prerequisites for your administrator
  • Connect the Supabase database through the Postgres connection flow using an IPv4-compatible Transaction Pooler connection string.
  • Each synced table needs a single-column primary key with an automatically generated default.
  • The database role needs table ownership and the documented read, write, trigger and logging-schema permissions. Confirm the appropriate Postgres connector before creating the sync.

Documentation checked October 20, 2026.

Setup guides and technical references

Integration design

Match records and fields for your Supabase integration.

Define the row/document key, external application identity, required types, and relationship model. Decide how nested values, nulls, schema changes, and deleted parents appear in the other system.

Use your account’s actual field names when applying these matching and dependency checks.

Explore record matching and field-mapping checks
SupabaseSource record IDKeep the account and record type
Record matchingSource ID ↔ destination IDLink the same record across systems
Selected destinationDestination record IDPreserve its local key and rules
Conceptual identity model. Keep source and destination IDs linked so an update reaches the right record. Confirm the supported sync direction separately.
Match the same record in both systems
Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema.
Load related records in the right order
List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label.

Mapping checks by record type

Tables

Check the object requirements below

Identity
Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema.
Fields to consider
Local record key · External application ID · Required business fields · Parent record references
Related records to resolve first
List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label.
Test before going live
Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record.

Download the field-mapping workbook (CSV) to capture the actual API fields, matching keys, owners, and test results. Use it as you build with your team or a Stacksync engineer.

Setup and validation

Validate the Supabase integration in four steps.

Repeated delivery reaches one intended record; related data remains addressable and incompatible values produce an observable failure.

View the four setup tests and expected results
  1. Verify Supabase connectivity and database privileges

    Use the documented setup from the integration network to the intended host, database, and schema. Have the administrator demonstrate the permissions required for both the first read and later change capture.

    Expected result: The approved role can access the selected data and capture later changes without depending on an administrator’s personal session.

  2. Test record matching for Tables

    Using an eligible object, preserve the selected source ID and resolve the required references. Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record.

    Expected result: Repeated delivery reaches one intended record; related data remains addressable and incompatible values produce an observable failure.

  3. Test writes in the directions you need

    Select one eligible Supabase object and writable field. Test the required create/update direction, an invalid value, and a repeated delivery. Check object-specific restrictions before enabling the return path.

    Expected result: The selected operation is confirmed, addresses the intended record, and exposes rejected values for repair.

  4. Test recovery and name the support owner

    Interrupt a non-production transfer, restore the connection, and reconcile the selected Supabase records. When using Stacksync’s Retry to sync action, check the latest source value: the retry re-reads current source state rather than replaying an immutable historical event.

    Expected result: The records have the expected current values, repeated delivery creates no duplicate business record, and your team knows who handles unresolved errors.

Use the production-readiness checklist to record test results, assign support owners, and agree on when to go live.

Troubleshooting

Troubleshoot your Supabase integration.

Diagnose record matching, delayed changes, and rejected operations
A Supabase record appears under the wrong destination record
Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema. List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label. Repair the ID relationship before repeating the operation.
The first load looks correct but later results differ
Postgres connector requirements apply. If logical replication permissions are unavailable, the documented Postgres Heroku connector provides a trigger-based alternative, including for non-Heroku databases. Measure the original source change, its capture, and the destination observation separately. Confirm whether the affected object is incremental, historical-only, or subject to a special refresh cycle.
One operation succeeds while another is rejected
Check the specific Supabase object, field permissions, required references, and allowed operation. A successful read does not establish that a create, update, deletion, or business action is available.

Review retry, replay, and recovery behavior before repeating an operation that may already have succeeded.

Review your Supabase workflow with an engineer

FAQ

Supabase connector FAQ

How should I plan an integration with Supabase?

Define the row/document key, external application identity, required types, and relationship model. Decide how nested values, nulls, schema changes, and deleted parents appear in the other system. Stacksync supports two-way sync for eligible objects. Start with one workflow, agree on which fields each system owns, then test initial data, later changes, and recovery before expanding.

Can the Supabase connector write changes back?

Stacksync supports reads and writes for eligible Supabase objects. Check the selected fields, account permissions, and the other system’s connector. Test the required operation and a rejected value before enabling production writes.

Which identifiers should I preserve for Supabase data?

Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema.

Which related records should I load first for Supabase?

List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label.

How do I validate Supabase changes after the initial load?

Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record. Repeated delivery reaches one intended record; related data remains addressable and incompatible values produce an observable failure.

What will we cover in a Supabase integration demo?

Start with one workflow and a sample record from Tables. We can review how to identify the record, connect related data, set the update direction, and test recovery. Include the person who owns the source system and anyone who will maintain the integration; you do not need a finished requirements document.

AI assistant

Set up Supabase from Claude or ChatGPT

Connect the Stacksync MCP server to your AI assistant, then ask for the sync in plain language. You only sign in; there is no code to write and no API key to paste.

1. Add the Stacksync MCP server

Server URL

https://mcp.stacksync.com/mcp

In Claude

  1. Open Customize → Connectors, select + Add, then Add custom connector.
  2. Name it Stacksync and enter https://mcp.stacksync.com/mcp.
  3. Select Connect, sign in to Stacksync and choose your workspace.

In ChatGPT

  1. Open Settings → Apps → Advanced settings and turn on Developer mode.
  2. Select Create app, name it Stacksync, enter https://mcp.stacksync.com/mcp and choose OAuth.
  3. Sign in to Stacksync, then enable Stacksync from the tools menu in a chat.
Set up Codex or Claude Code

Codex

codex mcp add stacksync --url https://mcp.stacksync.com/mcp
codex mcp login stacksync

Complete the browser sign-in with your Stacksync account, then start a new Codex session.

Claude Code

claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp

Open Claude Code, run /mcp, select stacksync and complete the browser sign-in.

Then ask: “List my Stacksync workspaces.” Sign-in connects your assistant; it does not create a sync yet.

Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI and other assistants: setup steps in the docs.

2. Ask your assistant

Create a sync between my Supabase and another app or database.

Also from the same chat

You can also ask for workflows and AI agents (Genies) that use Supabase. The assistant checks what each app supports, for example:

  • “Build a workflow that messages our team in Slack when a Supabase record changes.”
  • “Create a Genie that answers questions about our Supabase data in Slack.”

What happens next

  • Signs you in with your Stacksync login (OAuth). No API key is pasted into the chat.
  • Gives you a secure sign-in link for each app it connects; you open it and sign in to that app.
  • Builds the sync with your permissions in Stacksync, nothing more. Turn on Ask before every change in the MCP settings to approve each change first.

New to Stacksync? Create an account first, then sign in from your assistant.

Explore Supabase connections

Choose the other system in your workflow. Each guide explains the connection options, available operations, field mapping, and setup checks for that pair.

288 integration guides

SECURITY

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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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

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