Skip to content
Database ⇄ Developer tools

MariaDB to Rabbitmq integration — real-time, two-way sync

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.

  • 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 MariaDB and Rabbitmq

Keep MariaDB 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.

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.

Common use cases

  • 01 Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled dumps
  • 02 Keep several MariaDB instances aligned with one system of record across environments
  • 03 Fan a single event out to multiple systems by binding several Queues to a fanout Exchange, each feeding a different Stacksync sync.
  • 04 Route Messages by routing key through a topic Exchange so only Bindings matching a pattern (e.g. region or entity type) trigger a sync.

Common sync patterns

Turn rows into the records your tools track

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.

Land tool activity as queryable rows

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.

One integration pattern instead of per-tool API code

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.

What you can sync between MariaDB and Rabbitmq

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.

How changes propagate between MariaDB and Rabbitmq

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.

MariaDB Rabbitmq Sub-second propagation

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.

Rabbitmq MariaDB 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 MariaDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
  • 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.
What ships with MariaDB ⇄ Rabbitmq

Connect MariaDB and Rabbitmq for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–Rabbitmq connection.

Real-time

Two-way sync

Changes in MariaDB or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MariaDB or Rabbitmq 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 MariaDB or Rabbitmq record.

Observability

Monitoring

Track your MariaDB ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between MariaDB and Rabbitmq.

How the MariaDB and Rabbitmq connectors work

MariaDB

Integration surface
SQL wire protocol (MySQL-compatible client/server protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MariaDB setup guide

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.
How it works

How to connect MariaDB to Rabbitmq — 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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    MariaDB connected
    Rabbitmq connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · MariaDB ⇄ Rabbitmq
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    MariaDB Rabbitmq
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

MariaDB and Rabbitmq integration FAQ

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 MariaDB and Rabbitmq.

Popular · 7 of 322
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.