Two-way sync
Changes in Autopilot or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Autopilot and Supabase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
AI systems do not hold customers or invoices the way business apps do. What they hold is derived from your data: the vectors and metadata in a vector store, or the classifications, extracted fields, and generated text a model produces over records it was given. Supabase is where those source records actually live. The bridge between the two is the row itself, since an item in Autopilot and the record in Supabase it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Tables, Views, Schemas, auth.users in Supabase with Lists, Custom Fields, Smart Segments, Journeys (Triggers) in Autopilot in real time. Rows created or changed in Supabase flow into Autopilot so inference and embedding run on current data, and the scores, labels, and generated fields Autopilot produces flow back onto the matching rows in Supabase, mapped field by field. A change on either side appears on the other within seconds, with no extraction job or webhook plumbing to keep alive.
Because matching is by a stable identifier, every row in Supabase stays tied to its AI-side counterpart in Autopilot. Retrieval, enrichment, and generated content always resolve back to the record they came from, so there are no orphaned vectors and no labels describing a version of a row that no longer exists.
Scores, labels, extracted fields, or generated text produced in Autopilot land on the matching row in Supabase, next to the source data your applications already query.
When a row in Supabase is updated or removed, its counterpart in Autopilot is updated or removed too, so nothing in Autopilot describes a record that has since changed or gone.
Load your existing rows from Supabase into Autopilot to build the index or enrichment set, then let ongoing changes sync automatically instead of re-running the whole job.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Autopilot objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Contacts is specific to Autopilot and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Database Functions Postgres functions that can transform or validate synced rows. | Lists is specific to Autopilot and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Custom Fields is specific to Autopilot and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Tables Standard Postgres tables; the primary two-way sync target. | Smart Segments is specific to Autopilot and Tables to Supabase — each maps to any object or custom field on the other side. | |
| Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Views Read-side projections exposed to outbound syncs. | Journeys (Triggers) is specific to Autopilot and Views to Supabase — each maps to any object or custom field on the other side. | |
| Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Schemas Namespaces (public and custom) that scope sync access. | Activities is specific to Autopilot and Schemas to Supabase — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Autopilot for changes on an incremental schedule, reading only records changed since the previous pass. No CDC.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is written to Autopilot through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Supabase connection.
Changes in Autopilot or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Autopilot or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Autopilot or Supabase record.
Track your Autopilot ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Autopilot and Supabase.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Autopilot and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Autopilot and Supabase objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Autopilot and Supabase: authenticate both systems, choose the objects to sync (such as Autopilot's Contacts and Lists), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Autopilot and Supabase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Supabase integration in-house.
Yes — Stacksync ships production-grade connectors for both Autopilot and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Autopilot: No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Autopilot side: Lists, Custom Fields, Smart Segments, Journeys (Triggers), plus custom fields where Autopilot exposes them. On the Supabase side: Tables, Views, Schemas, auth.users. Stacksync auto-detects both schemas and converts types between the two systems.
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:
Every pair below is a real-time, two-way sync. Search all 513 integrations available for Autopilot and Supabase.