Two-way sync
Changes in PostgreSQL or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep PostgreSQL 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.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between PostgreSQL and Supabase continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both PostgreSQL and Supabase, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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.
| PostgreSQL objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Tables Standard Postgres tables; the primary two-way sync target. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-side projections used to expose joined or filtered data to a sync. | Views Read-side projections exposed to outbound syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Schemas Namespaces (public and custom) that scope sync access. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Primary and Unique Keys is specific to PostgreSQL and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Sequences is specific to PostgreSQL and auth.users 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.
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
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 applied to PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Supabase connection.
Changes in PostgreSQL or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever PostgreSQL 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 PostgreSQL or Supabase record.
Track your PostgreSQL ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL and Supabase: authenticate both systems, choose the objects to sync (such as PostgreSQL's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for PostgreSQL and Supabase: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Supabase: Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST). Authentication: Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer. Stacksync manages authentication, retries, and rate limits on both sides.
PostgreSQL: INSERT ... ON CONFLICT gives native upsert semantics, which makes inbound syncs idempotent against primary or unique keys. Supabase: Every Supabase project is a full PostgreSQL database, so standard Postgres drivers, SQL tooling, and log-based CDC apply directly. Stacksync's field mapping accounts for these differences between PostgreSQL and Supabase without custom code.
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 PostgreSQL and Supabase records are not retained after a sync operation.
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 579 integrations available for PostgreSQL and Supabase.