Two-way sync
Changes in Amazon Redshift or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Scaleway Postgres's rows in Amazon Redshift, 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 Amazon Redshift in real time, and result tables in Amazon Redshift sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Amazon Redshift sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Amazon Redshift and keep Scaleway Postgres focused on its operational workload.
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 Redshift objects | Scaleway Postgres objects | |
|---|---|---|
| Materialized Views Precomputed results that downstream syncs can read for performance. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Views Read-only sources for shaping data before it leaves the database. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | |
| Schemas Namespaces used to organize synced tables and control grants. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Scaleway Postgres connection.
Changes in Amazon Redshift or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Scaleway Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Redshift or Scaleway Postgres record.
Track your Amazon Redshift ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Scaleway Postgres.
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 Amazon Redshift 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.
Pick the Amazon Redshift 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.
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 Amazon Redshift and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Materialized Views and External Tables (Spectrum)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon Redshift and Scaleway Postgres: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Amazon Redshift sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Redshift: Its SQL dialect derives from PostgreSQL, so standard Postgres drivers connect, though not all Postgres features exist. 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 Redshift and Scaleway Postgres 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 Amazon Redshift and Scaleway Postgres records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Redshift and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–Scaleway Postgres integration in-house.
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 386 integrations available for Amazon Redshift and Scaleway Postgres.