Real-time
Two-way sync
Changes in Azure Service Bus or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Azure Service Bus to Scaleway Postgres integration — real-time, two-way sync
Keep Azure Service Bus 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Azure Service Bus and Scaleway Postgres
Keep Scaleway Postgres and Azure Service Bus in step: the rows in your database and the Topics, Subscriptions, Messages, Rules / Filters your engineering tools track stay consistent in real time, in both directions.
Scaleway Postgres is where your application's durable data lives; Azure Service Bus is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Schemas, Sequences, Columns, Tables in Scaleway Postgres with Topics, Subscriptions, Messages, Rules / Filters in Azure Service Bus field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Common use cases
- 01 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
- 02 Replicate the application database into a warehouse for analytics without writing custom pipelines
- 03 Send new and changed database rows as messages to a Service Bus queue or topic so multiple downstream consumers process the change stream independently.
- 04 Receive messages from a queue or subscription with an AMQP receiver and write them into a Postgres or warehouse table for durable, SQL-queryable storage.
Common sync patterns
One integration pattern instead of per-tool API code
Read and write the synced tables in Scaleway Postgres and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Azure Service Bus arrive as row changes in Scaleway Postgres, and writes to Scaleway Postgres propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
Where Azure Service Bus manages users or groups: keep identity aligned
Directory and identity records in Azure Service Bus stay matched to the users or owners table in Scaleway Postgres, so provisioning and de-provisioning flow from one source.
What you can sync between Azure Service Bus 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 Service Bus objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Subscriptions A virtual queue attached to a topic; a consumer receives its own stream of matching messages here, independent of other subscriptions on the same topic. | Views Read-only sources for shaping data before it leaves the database. | Subscriptions is specific to Azure Service Bus and Views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Messages The synced unit: a body plus system and user properties, MessageId, SessionId, and TTL; capped at 256 KB on Standard and up to 100 MB on Premium over AMQP. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Messages is specific to Azure Service Bus and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Rules / Filters SQL or correlation filters on a subscription that decide which topic messages it receives; a rule can also add or modify properties via a filter action. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Rules / Filters is specific to Azure Service Bus and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Sessions Message sessions group related messages by SessionId so one consumer handles them in FIFO order; the way ordered processing is achieved in Service Bus. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Sessions is specific to Azure Service Bus and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Dead-letter queue A sub-queue on every queue and subscription that automatically holds messages exceeding the max delivery count or their TTL, read for inspection and reprocessing. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Dead-letter queue is specific to Azure Service Bus and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Scheduled / deferred messages Messages enqueued for future delivery at a set time, or deferred and set aside by sequence number for retrieval later, out of the normal receive order. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Scheduled / deferred messages is specific to Azure Service Bus and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus 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 Service Bus Scaleway Postgres Interval-based propagation
DetectionStacksync polls Azure Service Bus for changes on an incremental schedule, reading only records changed since the previous pass. Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Azure Service Bus 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 written to Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Azure Service Bus: Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Azure Service Bus ⇄ Scaleway Postgres
Connect Azure Service Bus and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus 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 Service Bus or Scaleway Postgres record.
Observability
Monitoring
Track your Azure Service Bus ⇄ 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 Service Bus and Scaleway Postgres.
How the Azure Service Bus and Scaleway Postgres connectors work
Azure Service Bus
- Integration surface
- AMQP 1.0 messaging protocol plus an HTTP/REST API; entities live under a namespace at <namespace>.servicebus.windows.net (legacy SBMP also supported)
- Authentication
- Microsoft Entra ID (Azure AD) RBAC with managed identities - roles Azure Service Bus Data Owner, Data Sender, and Data Receiver - or Shared Access Signature (SAS) policies scoped with Manage, Send, and Listen claims
- Change detection
- Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or ReceiveAndDelete. No modified-date polling and no native HTTP push; Azure Event Grid can separately raise an 'active messages available' event for intermittent receivers
- Capabilities
- read · write
- Rate limits
- Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity
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 Service Bus 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 Service Bus 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 Service Bus
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus 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 Service Bus ⇄ 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 Service Bus Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Subscriptions and Messages), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Service Bus and Scaleway Postgres: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Azure Service Bus manages users or groups: keep identity aligned. Read and write the synced tables in Scaleway Postgres and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
-
Azure Service Bus: AMQP 1.0 messaging protocol plus an HTTP/REST API; entities live under a namespace at <namespace>.servicebus.windows.net (legacy SBMP also supported). Authentication: Microsoft Entra ID (Azure AD) RBAC with managed identities - roles Azure Service Bus Data Owner, Data Sender, and Data Receiver - or Shared Access Signature (SAS) policies scoped with Manage, Send, and Listen claims. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). 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. Azure Service Bus: Messages that exceed the max delivery count (default 10) or their time-to-live are moved automatically to the entity's dead-letter sub-queue rather than dropped, where they can be inspected and reprocessed. Stacksync's field mapping accounts for these differences between Azure Service Bus 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 Azure Service Bus 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 322 integrations available for Azure Service Bus and Scaleway Postgres.
Popular · 7 of 322
-
Azure Service Bus ⇄ SingleStore -
Azure Service Bus ⇄ Amazon Aurora -
Azure Service Bus ⇄ Amazon Lightsail -
Azure Service Bus ⇄ Apache Cassandra -
Scaleway Postgres ⇄ Jira -
Scaleway Postgres ⇄ Rabbitmq -
Scaleway Postgres ⇄ Datadog
No integrations match .
