Two-way sync
Changes in MariaDB or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Keep MariaDB 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.
MariaDB 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 Primary and Unique Keys, System-Versioned Tables, JSON Columns, Stored Procedures in MariaDB 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.
A new or changed row in MariaDB 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.
Records and events from Rabbitmq arrive in MariaDB 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 MariaDB and Stacksync keeps Rabbitmq current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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.
| MariaDB objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-side projections used as outbound sync sources. | 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. | Views is specific to MariaDB and Users and Permissions to Rabbitmq — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with engine-typed values. | Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. | Columns is specific to MariaDB and Nodes to Rabbitmq — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | 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. | Primary and Unique Keys is specific to MariaDB and Queues to Rabbitmq — each maps to any object or custom field on the other side. | |
| System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | Exchanges Routing entry points (direct, fanout, topic, headers); Stacksync publishes messages to an exchange, which forwards copies to bound queues. | System-Versioned Tables is specific to MariaDB and Exchanges to Rabbitmq — each maps to any object or custom field on the other side. | |
| JSON Columns Semi-structured payloads validated with JSON functions. | 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. | JSON Columns is specific to MariaDB and Bindings 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. | Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | Stored Procedures is specific to MariaDB and Messages 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 MariaDB 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.
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 MariaDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–Rabbitmq connection.
Changes in MariaDB or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MariaDB 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 MariaDB or Rabbitmq record.
Track your MariaDB ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MariaDB 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 MariaDB 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 MariaDB 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 MariaDB and Rabbitmq: authenticate both systems, choose the objects to sync (such as MariaDB's Views and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
MariaDB: MariaDB is protocol- and binlog-compatible with MySQL, so most MySQL drivers and CDC tooling work unchanged. Rabbitmq: RabbitMQ has no modified-date or CDC concept; data is a message stream, and once a consumer acknowledges a message it is removed from the queue, so replay needs a stream queue or a queue that still holds it. Stacksync's field mapping accounts for these differences between MariaDB and Rabbitmq 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 MariaDB and Rabbitmq records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MariaDB and Rabbitmq connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MariaDB–Rabbitmq integration in-house.
Yes — Stacksync ships production-grade connectors for both MariaDB and Rabbitmq. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. 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.
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 322 integrations available for MariaDB and Rabbitmq.