Real-time
Two-way sync
Changes in Amazon RDS or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Database
Amazon RDS to Scaleway Postgres integration — real-time, two-way sync
Keep Amazon RDS and Scaleway Postgres 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
Case study
Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Amazon RDS and Scaleway Postgres
Keep Amazon RDS and Scaleway Postgres synchronized in real time, across engines, regions, or services, in one or both directions.
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 Amazon RDS and Scaleway Postgres 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 Mirror SaaS objects into RDS tables so product features can join business data with application data in one query
- 02 Keep an RDS reporting database hydrated from operational tools without maintaining ETL jobs
- 03 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- 04 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
Common sync patterns
Cross-engine sync
Keep the same dataset live in both Amazon RDS and Scaleway Postgres, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
What you can sync between Amazon RDS and Scaleway Postgres
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.
| Amazon RDS objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to isolate synced tables. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Read-side projections exposed to outbound syncs. | Views Read-only sources for shaping data before it leaves the database. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Databases is specific to Amazon RDS and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Primary and Unique Keys is specific to Amazon RDS and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Amazon RDS and Scaleway Postgres
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.
Amazon RDS Scaleway Postgres Sub-second propagation
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Amazon RDS Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Amazon RDS ⇄ Scaleway Postgres
Connect Amazon RDS and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon RDS or Scaleway Postgres 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 Amazon RDS or Scaleway Postgres record.
Observability
Monitoring
Track your Amazon RDS ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Scaleway Postgres.
How the Amazon RDS and Scaleway Postgres connectors work
Amazon RDS
- Integration surface
- SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
- Authentication
- Database credentials over SSL/TLS, or IAM database authentication on supported engines
- Change detection
- Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput depends on instance class, storage IOPS, and connection limits
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Amazon RDS to Scaleway Postgres — 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 Amazon RDS and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Amazon RDS
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon RDS and Scaleway Postgres 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 · Amazon RDS ⇄ Scaleway PostgresCustomers 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.
Amazon RDS Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon RDS and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon RDS and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Amazon RDS's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Amazon RDS side: Views, Columns, Primary and Unique Keys, Read Replicas, plus custom fields where Amazon RDS exposes them. On the Scaleway Postgres side: Schemas, Sequences, Columns, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Amazon RDS and Scaleway Postgres: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Amazon RDS and Scaleway Postgres, so each workload runs on the engine that suits it.
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Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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Amazon RDS: IAM database authentication can replace static passwords on supported engines, letting integrations authenticate with short-lived tokens. Scaleway Postgres: Scaleway operates data centers in European regions, which matters for teams with EU data residency requirements. Stacksync's field mapping accounts for these differences between Amazon RDS and Scaleway Postgres without custom code.
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 391 integrations available for Amazon RDS and Scaleway Postgres.
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