Real-time
Two-way sync
Changes in Postgres Heroku or Rabbitmq instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Developer tools
Postgres Heroku to Rabbitmq integration — real-time, two-way sync
Keep Postgres Heroku 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 Postgres Heroku and Rabbitmq
Keep Postgres Heroku and Rabbitmq in step: the rows in your database and the Messages, Virtual Hosts, Consumers, Connections and Channels your engineering tools track stay consistent in real time, in both directions.
Postgres Heroku 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 Sequences, Follower Databases, Tables, Views in Postgres Heroku with Messages, Virtual Hosts, Consumers, Connections and Channels 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 Reflect billing and subscription records into the app database so product logic reads local rows
- 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 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 Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku 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.
| Postgres Heroku objects | Rabbitmq objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | 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 Postgres Heroku and Nodes to Rabbitmq — each maps to any object or custom field on the other side. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | 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. | JSONB Columns is specific to Postgres Heroku and Queues to Rabbitmq — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Exchanges Routing entry points (direct, fanout, topic, headers); Stacksync publishes messages to an exchange, which forwards copies to bound queues. | Sequences is specific to Postgres Heroku and Exchanges to Rabbitmq — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | 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. | Follower Databases is specific to Postgres Heroku and Bindings to Rabbitmq — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target for app 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. | Tables is specific to Postgres Heroku and Messages to Rabbitmq — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Views is specific to Postgres Heroku and Virtual Hosts to Rabbitmq — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku 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.
Postgres Heroku Rabbitmq Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Rabbitmq through its API, with automatic retries and rate-limit backoff.
Rabbitmq Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- 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 Postgres Heroku ⇄ Rabbitmq
Connect Postgres Heroku and Rabbitmq for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Rabbitmq connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Rabbitmq record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Rabbitmq sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Rabbitmq.
How the Postgres Heroku and Rabbitmq connectors work
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
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 Postgres Heroku 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.
- 01
Connect your apps
Authenticate Postgres Heroku 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.
Postgres Heroku
connected
Rabbitmq
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku 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.
objects · Postgres Heroku ⇄ RabbitmqCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Postgres Heroku RabbitmqCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Rabbitmq integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Rabbitmq: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Primary and Unique Keys and JSONB Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Rabbitmq: Message ordering is only guaranteed within a single queue with a single consumer; multiple consumers or requeues can reorder delivery. Stacksync's field mapping accounts for these differences between Postgres Heroku and Rabbitmq without custom code.
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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 Postgres Heroku and Rabbitmq records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Postgres Heroku and Rabbitmq connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Postgres Heroku–Rabbitmq integration in-house.
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Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Rabbitmq. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. 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.
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 327 integrations available for Postgres Heroku and Rabbitmq.
Popular · 8 of 327
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Postgres Heroku ⇄ Jms -
Postgres Heroku ⇄ Newrelic -
Postgres Heroku ⇄ Opsgenie -
Postgres Heroku ⇄ PagerDuty -
Rabbitmq ⇄ DuckDB -
Rabbitmq ⇄ Elasticsearch -
Rabbitmq ⇄ Google Cloud Spanner - Rabbitmq ⇄ Google Cloud SQL
No integrations match .
