Scaleway Postgres to SQL Server integration — real-time, two-way sync

Yes. Stacksync provides a managed, real-time two-way integration between Scaleway Postgres and SQL Server: authenticate both systems, choose the objects to sync (such as Scaleway Postgres's Materialized views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.

On the Scaleway Postgres side: Views, Materialized views, Schemas, Sequences, plus custom fields where Scaleway Postgres exposes them. On the SQL Server side: Databases, Schemas, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.

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 Scaleway Postgres and SQL Server: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Scaleway Postgres and SQL Server, so each workload runs on the engine that suits it.

Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.

Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. SQL Server: Native Change Data Capture reads inserts, updates, and deletes from the transaction log into change tables without touching application code. Stacksync's field mapping accounts for these differences between Scaleway Postgres and SQL Server without custom code.