Two-way sync
Changes in Azure SQL Database or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database 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.
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 Azure SQL Database 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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Azure SQL Database and Scaleway Postgres, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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.
| Azure SQL Database objects | Scaleway Postgres objects | |
|---|---|---|
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Views Read-only sources for shaping data before it leaves the database. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Sequences Generate primary keys; sync tooling must respect them when writing rows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Scaleway Postgres connection.
Changes in Azure SQL Database or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database 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 Azure SQL Database or Scaleway Postgres record.
Track your Azure SQL Database ⇄ Scaleway Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Change tracking / CDC tables and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Azure SQL Database and Scaleway Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback. On Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure SQL Database side: Views, Schemas, Rows and columns, Stored procedures, plus custom fields where Azure SQL Database exposes them. On the Scaleway Postgres side: Sequences, Columns, 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 Azure SQL Database and Scaleway Postgres: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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 Azure SQL Database and Scaleway Postgres.