Real-time
Two-way sync
Changes in Azure Synapse Analytics or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Azure Synapse Analytics to Scaleway Postgres integration — real-time, two-way sync
Keep Azure Synapse Analytics 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
Live sync
stacksync.com - <1s
- latency
- 2-way
- sync
- 100M+
- records
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Azure Synapse Analytics and Scaleway Postgres
Connect Scaleway Postgres and Azure Synapse Analytics 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 Azure Synapse Analytics, 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Scaleway Postgres, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Publish warehouse aggregates (account health scores, LTV) from Synapse back into operational tools like a CRM.
- 02 Sync curated Synapse views into an operational Postgres or Azure SQL database that applications can query cheaply.
- 03 Replicate the application database into a warehouse for analytics without writing custom pipelines
- 04 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
Common sync patterns
Offload heavy reads
Point analytical queries at the synced copy in Azure Synapse Analytics and keep Scaleway Postgres focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Scaleway Postgres land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Azure Synapse Analytics sync into Scaleway Postgres, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Azure Synapse Analytics 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.
| Azure Synapse Analytics objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Views Curated projections used when downstream tools should not read base tables directly. | 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. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | 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. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | SQL pools is specific to Azure Synapse Analytics and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | External tables is specific to Azure Synapse Analytics and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Azure Synapse Analytics 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.
Azure Synapse Analytics Scaleway Postgres Interval-based propagation
DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Azure Synapse Analytics 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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Azure Synapse Analytics ⇄ Scaleway Postgres
Connect Azure Synapse Analytics and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or Scaleway Postgres record.
Observability
Monitoring
Track your Azure Synapse Analytics ⇄ 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 Azure Synapse Analytics and Scaleway Postgres.
How the Azure Synapse Analytics and Scaleway Postgres connectors work
Azure Synapse Analytics
- Integration surface
- SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
- Authentication
- SQL authentication or Microsoft Entra ID
- Change detection
- Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
- Capabilities
- read · write
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 Azure Synapse Analytics 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 Azure Synapse Analytics 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.
Azure Synapse Analytics
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Synapse Analytics 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 · Azure Synapse Analytics ⇄ 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.
Azure Synapse Analytics Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Synapse Analytics and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Synapse Analytics and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Azure Synapse Analytics and Scaleway Postgres: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Azure Synapse Analytics and keep Scaleway Postgres focused on its operational workload.
-
Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. 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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Azure Synapse Analytics: Batch-style loading (staged, set-based inserts) performs far better than row-by-row writes, which shapes how a sync should deliver data into it. Scaleway Postgres: Postgres-native types such as JSONB and arrays are available, and a sync layer must map them onto flat SaaS field types. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics 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 Azure Synapse Analytics and Scaleway Postgres records are not retained after a sync operation.
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 478 integrations available for Azure Synapse Analytics and Scaleway Postgres.
Popular · 8 of 478
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Azure Synapse Analytics ⇄ Apache Cassandra -
Azure Synapse Analytics ⇄ Azure Cosmos DB -
Azure Synapse Analytics ⇄ Azure SQL Database -
Azure Synapse Analytics ⇄ Citus -
Scaleway Postgres ⇄ BigQuery -
Scaleway Postgres ⇄ MotherDuck -
Scaleway Postgres ⇄ Databricks -
Scaleway Postgres ⇄ AWS S3
No integrations match .
