Real-time
Two-way sync
Changes in Azure Service Bus or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Azure Service Bus to Postgres Heroku integration — real-time, two-way sync
Keep Azure Service Bus and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Azure Service Bus and Postgres Heroku
Keep Postgres Heroku and Azure Service Bus in step: the rows in your database and the Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred messages your engineering tools track stay consistent in real time, in both directions.
Postgres Heroku is where your application's durable data lives; Azure Service Bus 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 Tables, Views, Materialized Views, Schemas in Postgres Heroku with Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred messages in Azure Service Bus 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 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 03 Bridge order or workflow events off a subscription into an ERP or ticketing system as they arrive, mapping message properties and the payload to target fields.
- 04 Preserve per-account or per-order processing order by grouping related messages into a session so a single consumer handles them in FIFO sequence.
Common sync patterns
One integration pattern instead of per-tool API code
Read and write the synced tables in Postgres Heroku and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Azure Service Bus arrive as row changes in Postgres Heroku, and writes to Postgres Heroku propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
Where Azure Service Bus manages users or groups: keep identity aligned
Directory and identity records in Azure Service Bus stay matched to the users or owners table in Postgres Heroku, so provisioning and de-provisioning flow from one source.
What you can sync between Azure Service Bus and Postgres Heroku
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.
| Azure Service Bus objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Scheduled / deferred messages Messages enqueued for future delivery at a set time, or deferred and set aside by sequence number for retrieval later, out of the normal receive order. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Scheduled / deferred messages is specific to Azure Service Bus and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Queues Point-to-point entity: a sender writes messages and one competing consumer at a time receives them under PeekLock, then completes or abandons each message. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Queues is specific to Azure Service Bus and Tables to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Topics Publish/subscribe entity a publisher sends to; each message is fanned out to every subscription whose filter rules match, so many consumers get their own copy. | Views Read-side projections exposed to outbound syncs. | Topics is specific to Azure Service Bus and Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Subscriptions A virtual queue attached to a topic; a consumer receives its own stream of matching messages here, independent of other subscriptions on the same topic. | Materialized Views Precomputed result sets synced outward on refresh. | Subscriptions is specific to Azure Service Bus and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Messages The synced unit: a body plus system and user properties, MessageId, SessionId, and TTL; capped at 256 KB on Standard and up to 100 MB on Premium over AMQP. | Schemas Namespaces that scope which tables a sync reads and writes. | Messages is specific to Azure Service Bus and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Rules / Filters SQL or correlation filters on a subscription that decide which topic messages it receives; a rule can also add or modify properties via a filter action. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Rules / Filters is specific to Azure Service Bus and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and Postgres Heroku
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.
Azure Service Bus Postgres Heroku Interval-based propagation
DetectionStacksync polls Azure Service Bus for changes on an incremental schedule, reading only records changed since the previous pass. Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Azure Service Bus 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 Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Azure Service Bus: Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Azure Service Bus ⇄ Postgres Heroku
Connect Azure Service Bus and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or Postgres Heroku 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 Azure Service Bus or Postgres Heroku record.
Observability
Monitoring
Track your Azure Service Bus ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Postgres Heroku.
How the Azure Service Bus and Postgres Heroku connectors work
Azure Service Bus
- Integration surface
- AMQP 1.0 messaging protocol plus an HTTP/REST API; entities live under a namespace at <namespace>.servicebus.windows.net (legacy SBMP also supported)
- Authentication
- Microsoft Entra ID (Azure AD) RBAC with managed identities - roles Azure Service Bus Data Owner, Data Sender, and Data Receiver - or Shared Access Signature (SAS) policies scoped with Manage, Send, and Listen claims
- Change detection
- Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or ReceiveAndDelete. No modified-date polling and no native HTTP push; Azure Event Grid can separately raise an 'active messages available' event for intermittent receivers
- Capabilities
- read · write
- Rate limits
- Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity
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
How it works
How to connect Azure Service Bus to Postgres Heroku — 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 Azure Service Bus and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure Service Bus
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and Postgres Heroku 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 · Azure Service Bus ⇄ Postgres HerokuCustomers 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.
Azure Service Bus Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Scheduled / deferred messages and Queues), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Postgres Heroku. 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 Azure Service Bus: Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or ReceiveAndDelete. No modified-date polling and no native HTTP push; Azure Event Grid can separately raise an 'active messages available' event for intermittent receivers. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Postgres Heroku side: Tables, Views, Materialized Views, Schemas, plus custom fields where Postgres Heroku exposes them. On the Azure Service Bus side: Rules / Filters, Sessions, Dead-letter queue, Scheduled / deferred messages. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Azure Service Bus and Postgres Heroku: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Azure Service Bus manages users or groups: keep identity aligned. Read and write the synced tables in Postgres Heroku and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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 Azure Service Bus and Postgres Heroku.
Popular · 8 of 327
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Azure Service Bus ⇄ Google AlloyDB -
Azure Service Bus ⇄ Dynamo DB -
Azure Service Bus ⇄ IBM Db2 -
Azure Service Bus ⇄ Firebase -
Postgres Heroku ⇄ Opsgenie -
Postgres Heroku ⇄ PagerDuty -
Postgres Heroku ⇄ Jira -
Postgres Heroku ⇄ Rabbitmq
No integrations match .
