Two-way sync
Changes in Amazon RDS or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Rabbitmq in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Amazon RDS 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 Databases, Schemas, Tables, Views in Amazon RDS with Queues, Exchanges, Bindings, Messages 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.
Updates in Rabbitmq arrive as row changes in Amazon RDS, and writes to Amazon RDS propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Rabbitmq stay matched to the users or owners table in Amazon RDS, so provisioning and de-provisioning flow from one source.
A new or changed row in Amazon RDS 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.
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.
| Amazon RDS objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to isolate synced tables. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Schemas is specific to Amazon RDS and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Tables is specific to Amazon RDS and Consumers to Rabbitmq — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Views is specific to Amazon RDS and Connections and Channels to Rabbitmq — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Users and Permissions Auth principals and per-vhost configure/write/read access rules; managed over the HTTP API, usually read-only in a data sync. | Columns is specific to Amazon RDS and Users and Permissions to Rabbitmq — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. | Primary and Unique Keys is specific to Amazon RDS and Nodes to Rabbitmq — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Queues Buffers that store and forward messages; Stacksync consumes from a queue as a source and can declare or write to one as a destination. | Read Replicas is specific to Amazon RDS and Queues to Rabbitmq — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to Rabbitmq through its API, with automatic retries and rate-limit backoff.
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 Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Rabbitmq connection.
Changes in Amazon RDS or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Rabbitmq data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or Rabbitmq record.
Track your Amazon RDS ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Rabbitmq.
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 Amazon RDS and Rabbitmq 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 Amazon RDS and Rabbitmq 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 Amazon RDS and Rabbitmq: authenticate both systems, choose the objects to sync (such as Amazon RDS's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon RDS and Rabbitmq connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon RDS–Rabbitmq integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon RDS and Rabbitmq. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. On Rabbitmq: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon RDS side: Databases, Schemas, Tables, Views, plus custom fields where Amazon RDS exposes them. On the Rabbitmq side: Queues, Exchanges, Bindings, Messages. 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.
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 333 integrations available for Amazon RDS and Rabbitmq.