Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Supabase instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora PostgreSQL to Supabase integration — real-time, two-way sync
Keep AWS Aurora 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora PostgreSQL and Supabase
Keep AWS Aurora PostgreSQL and Supabase synchronized in real time, across engines, regions, or services, in one or both directions.
Teams sync AWS Aurora PostgreSQL with Supabase when part of a product runs on Supabase and the core system of record lives in Aurora. Aurora Tables and Rows stay aligned with Supabase Tables and auth.users, so both Postgres environments serve one consistent dataset.
Stacksync syncs tables or collections between AWS Aurora 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.
Common use cases
- 01 Serve a Supabase-powered client app from data mastered in Aurora without duplicating write logic.
- 02 Analyze Supabase auth.users growth alongside operational Rows in Aurora.
- 03 Keep Schemas consistent across both Postgres instances while Row Level Security Policies govern access on the Supabase side.
- 04 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
Common sync patterns
Core-to-edge sync
Aurora Tables and Rows replicate into Supabase Tables that front-end apps read.
User directory alignment
Supabase auth.users records sync into an Aurora Table so backend services see every signed-up user.
Flexible payload sync
JSONB Columns in Supabase stay consistent with the corresponding Aurora Columns for semi-structured data.
What you can sync between AWS Aurora PostgreSQL and Supabase
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.
| AWS Aurora PostgreSQL objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | 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. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Database Functions Postgres functions that can transform or validate synced rows. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Views and materialized views is specific to AWS Aurora PostgreSQL and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Views Read-side projections exposed to outbound syncs. | Foreign keys is specific to AWS Aurora PostgreSQL and Views to Supabase — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Schemas Namespaces (public and custom) that scope sync access. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Databases and schemas is specific to AWS Aurora PostgreSQL and auth.users to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL and Supabase
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.
AWS Aurora PostgreSQL Supabase Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase AWS Aurora PostgreSQL Sub-second propagation
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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with AWS Aurora PostgreSQL ⇄ Supabase
Connect AWS Aurora PostgreSQL and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Supabase record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Supabase.
How the AWS Aurora PostgreSQL and Supabase connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
Supabase
- Integration surface
- 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
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect AWS Aurora PostgreSQL to Supabase — three steps, no code
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.
- 01
Connect your apps
Authenticate AWS Aurora 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.
AWS Aurora PostgreSQL
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora 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.
objects · AWS Aurora PostgreSQL ⇄ SupabaseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Supabase integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Supabase: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Tables and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for AWS Aurora PostgreSQL and Supabase: Core-to-edge sync; User directory alignment; Flexible payload sync. Aurora Tables and Rows replicate into Supabase Tables that front-end apps read.
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AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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.
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AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. Supabase: Supabase Realtime is built on the Postgres write-ahead log, streaming row changes over websockets. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Supabase without custom code.
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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 AWS Aurora PostgreSQL and Supabase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Supabase integration in-house.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 486 integrations available for AWS Aurora PostgreSQL and Supabase.
Popular · 5 of 486
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AWS Aurora PostgreSQL ⇄ InfluxDB -
Supabase ⇄ Azure Cosmos DB -
Supabase ⇄ Azure SQL Database -
Supabase ⇄ Citus -
Supabase ⇄ Couchbase
No integrations match .
