Real-time
Two-way sync
Changes in AWS S3 or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
AWS S3 to Scaleway Postgres integration — real-time, two-way sync
Keep AWS S3 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
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Why teams connect AWS S3 and Scaleway Postgres
Connect Scaleway Postgres and AWS S3 with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Scaleway Postgres's rows in AWS S3, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Scaleway Postgres where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Scaleway Postgres sync into AWS S3 in real time, and result tables in AWS S3 sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.
Common use cases
- Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
- Trigger incremental sync runs from S3 event notifications when new files land in a prefix.
- Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
- Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
Operational data in the warehouse, minus the pipeline
Rows from Scaleway Postgres land in AWS S3 as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in AWS S3 sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between AWS S3 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.
| AWS S3 objects | Scaleway Postgres objects | |
|---|---|---|
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | |
| Object Metadata System and user-defined metadata read alongside object contents. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | Views Read-only sources for shaping data before it leaves the database. | |
| Event Notifications Notifications on object creation or deletion that trigger incremental processing. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | |
| Multipart Uploads The mechanism used to write large export files reliably. | Sequences Generate primary keys; sync tooling must respect them when writing rows. |
What ships with AWS S3 ⇄ Scaleway Postgres
Connect AWS S3 and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS S3 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 AWS S3 or Scaleway Postgres record.
Observability
Monitoring
Track your AWS S3 ⇄ 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 AWS S3 and Scaleway Postgres.
How the AWS S3 and Scaleway Postgres connectors work
AWS S3
- Integration surface
- REST API (the S3 API), accessed directly or through AWS SDKs
- Authentication
- AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
- Change detection
- S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
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 AWS S3 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 AWS S3 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.
AWS S3
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS S3 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 · AWS S3 ⇄ 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.
AWS S3 Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS S3 and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS S3 and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as AWS S3's Prefixes and Object Metadata), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for AWS S3 and Scaleway Postgres: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Scaleway Postgres land in AWS S3 as they change, replacing hand-built CDC and batch extract jobs.
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AWS S3: REST API (the S3 API), accessed directly or through AWS SDKs. Authentication: AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes. 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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AWS S3: S3 provides strong read-after-write consistency for all operations, so newly written objects are immediately readable by a sync. 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 AWS S3 and Scaleway Postgres 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 S3 and Scaleway Postgres 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 S3 and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS S3–Scaleway Postgres integration in-house.
SECURITY
Security teams love 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
CSA STAR
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 386 integrations available for AWS S3 and Scaleway Postgres.
Popular · 8 of 386
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AWS S3 ⇄ Azure SQL Database -
AWS S3 ⇄ Citus -
AWS S3 ⇄ Couchbase -
AWS S3 ⇄ DuckDB -
Scaleway Postgres ⇄ Apache Pinot -
Scaleway Postgres ⇄ Azure Synapse Analytics -
Scaleway Postgres ⇄ ClickHouse -
Scaleway Postgres ⇄ Cloudera Data Platform
No integrations match .
