Real-time
Two-way sync
Changes in Rabbitmq or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Rabbitmq to Scaleway Postgres integration — real-time, two-way sync
Keep Rabbitmq 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
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Why teams connect Rabbitmq and Scaleway Postgres
Keep Scaleway Postgres and Rabbitmq in step: the rows in your database and the Virtual Hosts, Consumers, Connections and Channels, Users and Permissions your engineering tools track stay consistent in real time, in both directions.
Scaleway Postgres is where your application's durable data lives; Rabbitmq 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 Virtual Hosts, Consumers, Connections and Channels, Users and Permissions in Rabbitmq 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 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
- 02 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- 03 Publish records changed in a CRM or operational database onto a RabbitMQ Exchange so services consuming the bound Queues react to them.
- 04 Fan a single event out to multiple systems by binding several Queues to a fanout Exchange, each feeding a different Stacksync sync.
Common sync patterns
React to changes on either side in near real time
Updates in Rabbitmq arrive as row changes in Scaleway Postgres, and writes to Scaleway Postgres propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.
Where Rabbitmq manages users or groups: keep identity aligned
Directory and identity records in Rabbitmq stay matched to the users or owners table in Scaleway Postgres, so provisioning and de-provisioning flow from one source.
Turn rows into the records your tools track
A new or changed row in Scaleway Postgres creates or updates the matching record in Rabbitmq, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
What you can sync between Rabbitmq 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.
| Rabbitmq objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Exchanges Routing entry points (direct, fanout, topic, headers); Stacksync publishes messages to an exchange, which forwards copies to bound queues. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Exchanges is specific to Rabbitmq and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Bindings Rules linking an exchange to a queue by routing key or pattern; they determine which messages reach which queue and can be declared during setup. | Views Read-only sources for shaping data before it leaves the database. | Bindings is specific to Rabbitmq and Views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Messages is specific to Rabbitmq and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Virtual Hosts is specific to Rabbitmq and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Consumers is specific to Rabbitmq and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Connections and Channels is specific to Rabbitmq and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Rabbitmq 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.
Rabbitmq Scaleway Postgres Interval-based propagation
DetectionStacksync polls Rabbitmq for changes on an incremental schedule, reading only records changed since the previous pass. Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Rabbitmq 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 Rabbitmq through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Rabbitmq: No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Rabbitmq ⇄ Scaleway Postgres
Connect Rabbitmq and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Rabbitmq–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Rabbitmq 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 Rabbitmq or Scaleway Postgres record.
Observability
Monitoring
Track your Rabbitmq ⇄ 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 Rabbitmq and Scaleway Postgres.
How the Rabbitmq and Scaleway Postgres connectors work
Rabbitmq
- Integration surface
- AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672
- Authentication
- AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled
- Change detection
- Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real time; there is no modified-date polling, and the Management HTTP API is stats-only and poll-based
- Capabilities
- read · write
- Rate limits
- No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
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 Rabbitmq 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 Rabbitmq 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.
Rabbitmq
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Rabbitmq 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 · Rabbitmq ⇄ 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.
Rabbitmq Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Rabbitmq and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Rabbitmq and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Rabbitmq's Exchanges and Bindings), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Rabbitmq: AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672. Authentication: AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled. 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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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. Rabbitmq: There is no fixed request quota, but publishers can be blocked by memory or disk alarms and back-pressure (flow control) under load. Stacksync's field mapping accounts for these differences between Rabbitmq 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 Rabbitmq and Scaleway Postgres records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Rabbitmq and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Rabbitmq–Scaleway Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Rabbitmq and Scaleway Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Rabbitmq and Scaleway Postgres.
Popular · 6 of 322
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Rabbitmq ⇄ OpenSearch -
Rabbitmq ⇄ Oracle DB -
Rabbitmq ⇄ RavenDB -
Rabbitmq ⇄ Redis Enterprise -
Scaleway Postgres ⇄ Datadog -
Scaleway Postgres ⇄ Ldap
No integrations match .
