Real-time
Two-way sync
Changes in Azure Service Bus or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Azure Service Bus to Redis Enterprise integration — real-time, two-way sync
Keep Azure Service Bus and Redis Enterprise 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
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Why teams connect Azure Service Bus and Redis Enterprise
Keep Redis Enterprise and Azure Service Bus in step: the rows in your database and the Dead-letter queue, Scheduled / deferred messages, Queues, Topics your engineering tools track stay consistent in real time, in both directions.
Redis Enterprise 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 Pub/Sub channels, Search indexes, Keys (Strings), Hashes in Redis Enterprise with Dead-letter queue, Scheduled / deferred messages, Queues, Topics 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 Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
- 02 Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
- 03 Preserve per-account or per-order processing order by grouping related messages into a session so a single consumer handles them in FIFO sequence.
- 04 Send new and changed database rows as messages to a Service Bus queue or topic so multiple downstream consumers process the change stream independently.
Common sync patterns
Land tool activity as queryable rows
Records and events from Azure Service Bus arrive in Redis Enterprise 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 Redis Enterprise 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 Redis Enterprise, and writes to Redis Enterprise propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
What you can sync between Azure Service Bus and Redis Enterprise
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 | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Topics is specific to Azure Service Bus and Hashes to Redis Enterprise — 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. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Subscriptions is specific to Azure Service Bus and JSON documents to Redis Enterprise — 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. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Messages is specific to Azure Service Bus and Sets to Redis Enterprise — 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. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Rules / Filters is specific to Azure Service Bus and Sorted Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Sessions Message sessions group related messages by SessionId so one consumer handles them in FIFO order; the way ordered processing is achieved in Service Bus. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Sessions is specific to Azure Service Bus and Lists to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Dead-letter queue A sub-queue on every queue and subscription that automatically holds messages exceeding the max delivery count or their TTL, read for inspection and reprocessing. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Dead-letter queue is specific to Azure Service Bus and Streams to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and Redis Enterprise
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 Redis Enterprise 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 Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise Azure Service Bus Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
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.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Azure Service Bus ⇄ Redis Enterprise
Connect Azure Service Bus and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or Redis Enterprise 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 Redis Enterprise record.
Observability
Monitoring
Track your Azure Service Bus ⇄ Redis Enterprise 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 Redis Enterprise.
How the Azure Service Bus and Redis Enterprise 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
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect Azure Service Bus to Redis Enterprise — 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 Redis Enterprise 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
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and Redis Enterprise 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 ⇄ Redis EnterpriseCustomers 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 Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Topics and Subscriptions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Azure Service Bus and Redis Enterprise 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 Azure Service Bus and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Service Bus and Redis Enterprise. 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 Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. 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 Redis Enterprise side: Pub/Sub channels, Search indexes, Keys (Strings), Hashes, plus custom fields where Redis Enterprise exposes them. On the Azure Service Bus side: Dead-letter queue, Scheduled / deferred messages, Queues, Topics. Stacksync auto-detects both schemas and converts types between the two systems.
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 313 integrations available for Azure Service Bus and Redis Enterprise.
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Azure Service Bus ⇄ Amazon DynamoDB -
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Redis Enterprise ⇄ Ldap -
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Redis Enterprise ⇄ Newrelic
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