Two-way sync
Changes in Materialize or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Keep Materialize 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.
Materialize is the central store where teams keep Sinks, Indexes, Clusters, Connections & Secrets for reporting and analysis; Rabbitmq runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Queues, Exchanges, Bindings, Messages produced in Rabbitmq are exactly what analysts want to measure in Materialize, and the curated rows in Materialize are what should drive the next action in Rabbitmq. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Sinks, Indexes, Clusters, Connections & Secrets in Materialize 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 matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
A row scored, flagged, or enriched in Materialize creates or updates the matching record in Rabbitmq, so the operational tool acts on the same data the analysts already see.
Load the existing set of Queues, Exchanges, Bindings, Messages into Materialize once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
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.
| Materialize objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | Connections & Secrets is specific to Materialize and Messages to Rabbitmq — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Schemas & Databases is specific to Materialize and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. | |
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | 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 Materialize and Consumers to Rabbitmq — each maps to any object or custom field on the other side. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Sources is specific to Materialize and Connections and Channels to Rabbitmq — each maps to any object or custom field on the other side. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | 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. | Materialized Views is specific to Materialize and Users and Permissions to Rabbitmq — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. | Sinks is specific to Materialize and Nodes 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 Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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 Materialize as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Rabbitmq connection.
Changes in Materialize or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Materialize 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 Materialize or Rabbitmq record.
Track your Materialize ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Materialize 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 Materialize 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 Materialize 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 Materialize and Rabbitmq: authenticate both systems, choose the objects to sync (such as Materialize's Connections & Secrets and Schemas & Databases), 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 Materialize and Rabbitmq connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–Rabbitmq integration in-house.
Yes — Stacksync ships production-grade connectors for both Materialize and Rabbitmq. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. 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 Materialize side: Sinks, Indexes, Clusters, Connections & Secrets, plus custom fields where Materialize 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 316 integrations available for Materialize and Rabbitmq.