Two-way sync
Changes in MySQL or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Keep MySQL 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.
MySQL 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 Views, Columns, Primary and Unique Keys, JSON Columns in MySQL with Connections and Channels, Users and Permissions, Nodes, Queues 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.
Records and events from Rabbitmq arrive in MySQL as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in MySQL and Stacksync keeps Rabbitmq current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Rabbitmq arrive as row changes in MySQL, and writes to MySQL propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.
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.
| MySQL objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Columns Field-level mapping targets with engine-typed values. | Exchanges Routing entry points (direct, fanout, topic, headers); Stacksync publishes messages to an exchange, which forwards copies to bound queues. | Columns is specific to MySQL and Exchanges to Rabbitmq — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | 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. | Primary and Unique Keys is specific to MySQL and Bindings to Rabbitmq — each maps to any object or custom field on the other side. | |
| JSON Columns Validated semi-structured payloads for nested SaaS data. | Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | JSON Columns is specific to MySQL and Messages to Rabbitmq — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Stored Procedures is specific to MySQL and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. | |
| Triggers An alternative change-capture mechanism when binlog access is unavailable. | Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Triggers is specific to MySQL and Consumers to Rabbitmq — each maps to any object or custom field on the other side. | |
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Databases (Schemas) is specific to MySQL and Connections and Channels 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 MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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 MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MySQL–Rabbitmq connection.
Changes in MySQL or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MySQL 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 MySQL or Rabbitmq record.
Track your MySQL ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MySQL 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 MySQL 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 MySQL 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 MySQL and Rabbitmq: authenticate both systems, choose the objects to sync (such as MySQL's Columns and Primary and Unique Keys), 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 MySQL and Rabbitmq connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MySQL–Rabbitmq integration in-house.
Yes — Stacksync ships production-grade connectors for both MySQL and Rabbitmq. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). 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 MySQL side: Views, Columns, Primary and Unique Keys, JSON Columns, plus custom fields where MySQL exposes them. On the Rabbitmq side: Connections and Channels, Users and Permissions, Nodes, Queues. 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 425 integrations available for MySQL and Rabbitmq.